100+ AI Apps. One Lab. Zero Limits.

AI · FinTech · EdTech · Business Analytics · Robotics · Research

100+ AI applications. 15 courses. 30+ supervised student research projects. 20+ commissioned government and industry reports. Taught in 5 countries across 22+ years. All built end-to-end on local NVIDIA infrastructure — no cloud, no institutional funding.

Explore Applications About Me

The Mission

Universities are debating whether AI belongs in classrooms.
We’ve already built it.

AutoMatrixLab is a research, education, and industry platform with over 100 AI and automation applications built in-house. Every app was designed and deployed in the open, by one senior lecturer and his students, on local NVIDIA infrastructure, with no institutional funding.

By The Numbers

100+
Applications
15
Courses
6
Commissioned Reports
3
Published Papers
4
Student Platforms
6
Conferences

Industry Signals

The world’s largest employers are moving faster than universities can update curricula.

Google

“We no longer require a four-year degree for most of our technical roles. What matters is what you can do.”

— Google Career Certificates initiative

Tesla / xAI

“We don’t care where you went to school or whether you went to school. Show us your code.”

— Elon Musk, on Tesla hiring

IBM

“Half of our US jobs no longer require a degree. We are becoming a skills-first employer.”

— IBM Skills-First Hiring Policy

OpenAI

“The future of work will belong to those who can orchestrate AI — not compete with it.”

— Sam Altman, OpenAI

The Problem

Meanwhile, in most universities…

2-year approval cycles

New courses take two academic years to pass committee approval — the technologies are obsolete by the time students learn them.

Expensive compute, idle students

Universities spend millions on cloud AI subscriptions while students never touch the infrastructure. I run the entire lab on one local NVIDIA machine.

Research that never ships

Papers sit behind paywalls. Here, every research project ships as a working app, a demo, and a story the public can understand.

Theory without production

Most analytics curricula end at “train a model on a Jupyter notebook.” My students deploy POS systems, research dashboards, and AI tutors in live production.

Lead the change. Don’t chase it.

The AutoMatrixLab Education Engine is a complete AI-native learning platform. Below are live demonstrations of its components.

AutoMatrixLab Universe

Building an entire universe of educational systems — the platform architecture overview. A walkthrough of how AutoMatrixLab connects 100+ AI apps, 15 courses, multi-agent AI assistants, and local NVIDIA infrastructure into one unified learning platform.

Education Engine — Welcome & Tour

The full welcome video introducing AutoMatrixLab — 15 courses across 8 industry domains, 8 workspace tabs, 3 onboard AI assistants. Narrated end-to-end by Dr Adnan Balloch with an AI-generated avatar presenter.

Games & Gamified Learning

An introduction to the AutoMatrixLab educational gaming portfolio — AAA-rated games built in Unreal Engine 5 and Fortnite UEFN.

Education Engine in Action

Live demonstrations of the AutoMatrixLab education platform — courses, AI tutoring, admin tools, and infrastructure.

COURSE CATALOG

All Courses on Tablet

Admin dashboard showing all ML & Automation courses with module counts, lesson tracking, and content status.

STUDENT VIEW

Student Dashboard

Student-facing dashboard with course progress tracking, platform videos, and AI-powered learning tools.

AI ADMIN

OpenClaw Admin Panel

AI-powered admin dashboard with live chat, course management, content generation, and platform monitoring.

AI ASSISTANT

Educational Jarvis

AI assistant integrated into VS Code — autonomous code generation, project management, and platform development.

SAS VIYA

SAS Dashboard Demo

SAS Viya analytics pipeline running through the AutoMatrixLab automation framework.

RESPONSIVE

Multi-Device Experience — Phones & Tablets

The Education Engine running across phones and tablets — same workspace, every device.

MULTILINGUAL

Tablet — Mandarin Chinese Narration

All courses on tablet with native Mandarin Chinese narration — supporting students globally.

CLAW DEEP DIVE

Educational Claw — Admin Panel Walkthrough

Full admin-panel walkthrough of the AI orchestration platform powering AutoMatrixLab.

SAS COURSE

SAS Course Demo

The SAS programming course running inside the Education Engine — workspace tour with the SAS simulator (not Viya).

FINANCE COURSE

Financial Planning Course Tour

Financial Planning course feature tour — KiwiSaver, tax, insurance modules in the Education Engine.

More Platform Demos

Live demonstrations of the ML pipeline builder, fraud detection system, and interactive course features.

Full Platform

Full Platform Demo — Desktop

Complete walkthrough: Live Demo mode, Fraud Detection, Charts, Reports, SHAP, Claw AI, ROC Curve.

ML Pipeline Builder

Visual Pipeline — Mobile View

Drag-and-drop ML pipeline with node graph on tablet. Data Ingest → EDA → Feature Eng → Models → Evaluation.

Fraud Detection

Fraud Detection Pipeline — Full UI

Case studies, node sidebar, real-time charts. Isolation Forest + XGBoost on 2,000 records.

Evaluation

Confusion Matrix & Metrics

Live confusion matrix, Run Pipeline button, Student Report and Master Report tabs.

Pipeline Nodes

Pipeline Node Graph — Zoomed View

Full pipeline flow: Data Ingest → Data Clean → EDA → Feature Eng → Split & Scale → Isolation Forest.

15 courses across industry domains. Every course runs on the Education Engine with interactive lectures, ML practicals, AI tutoring, and narrated content.

Every course comes with access to 100+ real AI and automation applications — built in-house, running in production, and open for students to explore, learn from, and extend.

ML, AI & Automation Courses

15 courses across 8 industry domains.

💰

ML & Automation in Finance

Fraud detection, credit risk, portfolio optimisation, customer churn, credit default

Fraud Detection (284K records)Credit Risk Scoring (32K records)Portfolio Optimisation (619K records)Customer Churn Prediction (7K records)Credit Default Analysis (30K records)
📣

ML & Automation in Marketing

Lead scoring, campaign attribution, customer segmentation

Lead Scoring (41K records)Campaign Attribution (200K records)Customer Segmentation (2.2K records)Customer Engagement Analysis
🏥

ML & Automation in Healthcare

Readmission prediction, diagnostics, length of stay, drug response

Hospital Readmission Prediction (25K records)Diabetes Diagnostics (768 records)Length of Stay Prediction (101K records)Heart Disease Classification (303 records)
👤

ML & Automation in HR & Policy

Attrition prediction, performance forecasting, sentiment analysis

Employee Attrition Prediction (10K records)Performance Forecasting (1.5K records)Employee Sentiment Analysis (661K records)Talent Retention Modelling (19K records)
🛒

ML & Automation in Retail

Churn prediction, demand forecasting, pricing optimisation, recommendations

Customer Churn AnalysisDemand Forecasting (150K records)Retail Price OptimisationProduct Recommendation Engine
🚚

ML & Automation in Supply Chain

Demand forecasting, supplier risk, logistics optimisation

Logistics Optimisation (180K records)Transport Route Analysis (32K records)Demand-Inventory PlanningSupply Network Optimisation
⚙️

ML & Automation in Manufacturing

Predictive maintenance, quality control, OEE & energy optimisation

Predictive Maintenance (10K records)Quality Control AnalyticsHydraulic Systems MonitoringEnergy Consumption Optimisation
🏠

ML & Automation in Real Estate

Property valuation, rental yield prediction, market analysis

Property Valuation (2.2M records)Melbourne Housing Analysis (13K records)Housing Price PredictionBoston Housing Benchmarks
📊

Econometrics & Data Mining

Panel data methods using SAS, statistical analysis, data mining techniques

Panel Data EconometricsSAS Analytics Pipeline (Simulator)Time Series ForecastingClustering & ClassificationAssociation Rule Mining
View live course demos → Platform Demo

100+ AI and automation applications built end-to-end. Click any card for full details, tech stack, and demo video.

🤖 All 📚 Education 📊 Analytics ⚡ AI & Infra 💰 FinTech 🎮 Games 🦾 Robotics

📚 Educational Automation (15)

Finance for Kids — Gamified Financial Literacy Platform
EdTech / FinTech #10

Finance for Kids — Gamified Financial Literacy Platform

A free, interactive platform designed to empower children with financial skills through gamified learning and personali…

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Cogniti AI Tutor — Institutional-Grade Learning Assistant
EdTech #25

Cogniti AI Tutor — Institutional-Grade Learning Assistant

An institutional-grade, course-specific AI learning assistant developed in collaboration with the University of Sydney…

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Multilingual AI Personal Tutor — Vision + Speech + Text
EdTech #37

Multilingual AI Personal Tutor — Vision + Speech + Text

A multilingual personal tutor that can see what is on the page or screen, listen to questions, speak clear explanations…

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AI-Powered Teaching App — Mass Scale Education
EdTech #38

AI-Powered Teaching App — Mass Scale Education

An AI application for delivering education at mass scale, developed as a counterpoint to a $1.

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Multilingual AI Vision App — Self-Funded on NVIDIA 4090
EdTech / AI Infrastructure #39

Multilingual AI Vision App — Self-Funded on NVIDIA 4090

An AI application capable of reading chats in multiple languages and replying instantly in the same language — English,…

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Inclusive Bilingual Māori AI Tutor
EdTech #41

Inclusive Bilingual Māori AI Tutor

A bilingual AI tutor designed specifically for Māori language education, created as a personal commitment to supporting…

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Universal Multilingual AI Tutor — Education as a Right
EdTech #45

Universal Multilingual AI Tutor — Education as a Right

An AI tutor that reads, hears, types, and speaks in every major language — reading English on screen and explaining it…

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AI Examiner and Multi-Language Learning Platform
EdTech #59

AI Examiner and Multi-Language Learning Platform

Major feature expansion of the AI-Powered Interactive Learning Platform adding: an AI Examiner with unlimited random pr…

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Context-Aware AI Tutor — Knows What Students Are Looking At
EdTech #64

Context-Aware AI Tutor — Knows What Students Are Looking At

An AI tutor that tracks exactly what a student is looking at — the video frame being watched, the text selected, the co…

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Universal AI Learning Platform (UMEP) — One App, Every Language
EdTech #65

Universal AI Learning Platform (UMEP) — One App, Every Language

A standalone all-in-one learning environment containing all course materials, full SAS and Python consoles running in-b…

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GPU Web Server — Democratising Research Computing for Students
EdTech / AI Infrastructure #72

GPU Web Server — Democratising Research Computing for Students

A personal NVIDIA GPU converted into a web server hosting an academic research platform.

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AI Education Platform — Dual-AI Context-Aware System
EdTech #74

AI Education Platform — Dual-AI Context-Aware System

A dual-AI education platform providing context-aware learning unlike generic AI assistants.

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Azure AI Education Platform — Interactive Teaching Beyond Zoom
EdTech #75

Azure AI Education Platform — Interactive Teaching Beyond Zoom

An AI-driven education platform hosted on Azure that surpasses Zoom and Teams.

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AI-Powered Analytics, AI, and Robotics Education Platform
EdTech #76

AI-Powered Analytics, AI, and Robotics Education Platform

A comprehensive education platform using agentic AI and gamification to deliver interactive lectures, workshops, and si…

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Remotion - Education automation
EdTech #92

Remotion - Education automation

I just built a professional lecture video using Remotion, React, and AI-assisted development.

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📊 Business Analytics & Research Automation (12)

AI-Powered Retail Intelligence Platform on Snowflake
Industry AI #26

AI-Powered Retail Intelligence Platform on Snowflake

A machine learning-powered retail analytics platform that transforms 500K+ transactions into actionable business insigh…

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SAS + OpenAI Automation Pipeline 2.0 — Desktop Tool
SAS Automation #35

SAS + OpenAI Automation Pipeline 2.0 — Desktop Tool

A desktop tool that fuses SAS analytics with OpenAI intelligence for one-click data analysis and reporting.

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SAS + AI End-to-End Pipeline Automation
SAS Automation #36

SAS + AI End-to-End Pipeline Automation

An automated end-to-end SAS pipeline orchestrated by custom AI applications.

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Data Emotionalisation — "Millions of Stories, One Song"
Research Innovation #56

Data Emotionalisation — "Millions of Stories, One Song"

A pioneering approach to research dissemination that transforms academic findings into AI-generated songs.

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ReCollab — Unified Research Collaboration Platform
Research Tools #66

ReCollab — Unified Research Collaboration Platform

A first-of-its-kind research collaboration platform unifying version control (full Git integration), LaTeX editing (rea…

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ReCollab AI Research Automation — One-Click Paper Generation
Research Tools #67

ReCollab AI Research Automation — One-Click Paper Generation

An extension of the ReCollab platform enabling one-click research workflows: automatic data analysis, full academic pap…

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ReCollab — Research Operating System at Scale
Research Tools #68

ReCollab — Research Operating System at Scale

The unified research and industry collaboration system that collapses years of effort into days.

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Custom LLM for FT50 Academic Journal Automation
Research Tools #69

Custom LLM for FT50 Academic Journal Automation

A custom-trained LLM built on 50+ papers from top finance and economics journals that writes in the voice of the Journa…

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FamNet — Family Network Transmission Analysis Dashboard
Research Tools #70

FamNet — Family Network Transmission Analysis Dashboard

An interactive dashboard for analysing how life events, financial hardship, and wellbeing transmit across family networ…

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Engineering Meets Business — Interdisciplinary Research Platform
Research Tools #71

Engineering Meets Business — Interdisciplinary Research Platform

A research platform born from the fusion of engineering precision, business insight, and AI intelligence.

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Recursive Panel ML — New Mathematical and AI Model
Research Tools #73

Recursive Panel ML — New Mathematical and AI Model

A novel mathematical and AI model introducing Recursive Panel Machine Learning for predictive analytics.

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Data Emotionalisation — Am I my brothers' keeper?
Research Innovation #94

Data Emotionalisation — Am I my brothers' keeper?

Presenting my working paper: I lost sleep over a research question no traditional model could answer.

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⚡ AI Infrastructure & Automation (11)

Enterprise AI App — Beyond ChatGPT with AWS and LangChain
AI Infrastructure #12

Enterprise AI App — Beyond ChatGPT with AWS and LangChain

An AI-powered enterprise application built on AWS Cloud using LangChain, OpenAI GPT, and Streamlit that goes beyond sta…

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Meta Quest 3 Virtual Reality AI App
VR/AR #13

Meta Quest 3 Virtual Reality AI App

An AI-powered application developed for the Meta Quest 3 virtual reality headset, combining immersive VR experiences wi…

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Thought-Triggered Smartwatch App — Brain-Computer Interface
Wearables / AI #15

Thought-Triggered Smartwatch App — Brain-Computer Interface

A smartwatch application that detects cognitive intent through brainwave signals (EEG) and triggers watch actions witho…

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Voice-Controlled Multi-Agent AI Network
AI Infrastructure #18

Voice-Controlled Multi-Agent AI Network

An Android application enabling voice command control over multiple AI agents that communicate with each other autonomo…

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AI CV Matcher — Intelligent Career Matching Platform
Consumer / AI #19

AI CV Matcher — Intelligent Career Matching Platform

An AI-powered web application that analyses uploaded CVs using GPT-4 to suggest relevant career directions across marke…

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Smart Price Tracker for NZ Shoppers
Consumer / AI #20

Smart Price Tracker for NZ Shoppers

An intelligent shopping companion that tracks live product prices across New Zealand e-commerce sites and sends real-ti…

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Email-Triggered Autonomous Data Analysis Agent
AI Automation #22

Email-Triggered Autonomous Data Analysis Agent

An AI agent that activates automatically when data is sent to a designated email address.

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Local AI Platform — Outperforming Cloud on NVIDIA 4090
AI Infrastructure #40

Local AI Platform — Outperforming Cloud on NVIDIA 4090

A custom AI infrastructure deployed on a personal NVIDIA 4090 GPU that outperforms OpenAI in both vision and speech tas…

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Desktop as Private AI Data Centre — Zero Cloud Cost
AI Infrastructure #42

Desktop as Private AI Data Centre — Zero Cloud Cost

A personal NVIDIA RTX 4090 SUPER converted from a gaming GPU into an on-premises AI campus capable of: computer vision…

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Local AI Pipeline — Full LLM Stack on RTX 4090
AI Infrastructure #43

Local AI Pipeline — Full LLM Stack on RTX 4090

A complete local AI pipeline running on an RTX 4090 desktop integrating all LLM models locally (Llama and others), comp…

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Educational Claw
AI Infrastructure #91

Educational Claw

I solved a problem that haunted me for months.

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💰 FinTech & Financial Automation (18)

AI Trading Platform — Trade Tool
FinTech #9

AI Trading Platform — Trade Tool

An AI-powered trading application featuring an intelligent trade suggestion engine.

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AI Credit Risk Analytics Dashboard
FinTech #11

AI Credit Risk Analytics Dashboard

A fully interactive credit scoring dashboard powered by AI, AWS, and LangChain for real-time decision intelligence in f…

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AI-Powered Fintech Budgeting and Investment Planner
FinTech #16

AI-Powered Fintech Budgeting and Investment Planner

A smart budgeting and investment planner featuring a conversational interface for tracking income, expenses, and saving…

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AI-Powered Financial Accountant
FinTech #21

AI-Powered Financial Accountant

A Streamlit application that transforms raw financial statements into CFO-level insights within seconds.

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NZ Financial Advice AI Agent
FinTech #23

NZ Financial Advice AI Agent

An AI agent integrating Gemini and DeepSeek models to provide financial advice based on budget estimations.

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AI Financial Planning Agent
FinTech #24

AI Financial Planning Agent

A web-hosted AI agent linked to ChatGPT that provides personalised financial planning based on client budgets and finan…

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NZ Financial Planning Platform — KiwiSaver, Tax, Insurance
FinTech #27

NZ Financial Planning Platform — KiwiSaver, Tax, Insurance

A complete financial planning platform built specifically for New Zealand, performing in one minute what traditionally…

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Azure FinCom App — Financial Communication Platform
FinTech #28

Azure FinCom App — Financial Communication Platform

A financial communication platform built on Azure breaking down barriers in financial services through three capabiliti…

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FinCom — Full-Stack Financial Literacy Platform (Local + Cloud)
FinTech / EdTech #29

FinCom — Full-Stack Financial Literacy Platform (Local + Cloud)

A full-stack financial literacy platform combining gamification, AI-based assistance, and real-time visualisation to te…

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AI Equity Research Dashboard — Institutional-Grade Reports
FinTech #30

AI Equity Research Dashboard — Institutional-Grade Reports

An AI-powered dashboard that produces complete, 20-page institutional-grade equity research reports in minutes.

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GPU-Powered Equity Research Automation — NVIDIA 4090
FinTech / AI Infrastructure #31

GPU-Powered Equity Research Automation — NVIDIA 4090

An equity research workflow running entirely on a local NVIDIA 4090 desktop, automating reports for any public company.

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Agentic Equity Research Workflow — Filing to First Draft
FinTech #32

Agentic Equity Research Workflow — Filing to First Draft

An end-to-end agentic workflow that automates equity research from raw SEC filings to first-draft reports with no exter…

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AI Annual Report Generator — Walmart Case Study
FinTech #33

AI Annual Report Generator — Walmart Case Study

An AI application that recreates a company's annual report page by page using raw financial data and AI-generated comme…

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AI Financial Modelling App — Automated Forecasts to 2035
FinTech #34

AI Financial Modelling App — Automated Forecasts to 2035

A finance application that transforms an Income Statement and Balance Sheet into robust financial models, long-range fo…

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Insurance Cost Prediction App — 90% Accuracy
FinTech / Data Science #77

Insurance Cost Prediction App — 90% Accuracy

A machine learning application predicting insurance costs with 90% accuracy using age, BMI, smoking status, and other f…

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Advanced Property Valuation Platform — 13 ML Models
FinTech / Data Science #78

Advanced Property Valuation Platform — 13 ML Models

A property valuation platform combining 13 advanced ML models including Kernel Ridge Regression, XGBoost, LightGBM, Cat…

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Small Business Automation
FinTech #90

Small Business Automation

NZ small businesses are being bled dry by subscription software — hundreds per month for technology they could own.

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Financial Modelling and Valuation Automation
FinTech #93

Financial Modelling and Valuation Automation

I just modeled Fonterra's financial future in 5 minutes.

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🎮 Gamified Learning & Automation (6)

Scrolls of Wisdom — AAA Educational Game (Unreal Engine 5)
Educational Gaming #57

Scrolls of Wisdom — AAA Educational Game (Unreal Engine 5)

A AAA-rated educational game built in Unreal Engine 5 featuring triple-A quality graphics and gameplay.

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Skill Islands Metaverse — Global Analytics Tournament
Educational Gaming #58

Skill Islands Metaverse — Global Analytics Tournament

The world's first global analytics and logical reasoning tournament inside a student metaverse.

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Wisdom Royale — Free Educational Battle Royale (Fortnite UEFN)
Educational Gaming #60

Wisdom Royale — Free Educational Battle Royale (Fortnite UEFN)

A free battle royale game built in Fortnite UEFN where knowledge is the weapon.

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GPA 6 — Grand Point Average (Educational GTA Parody)
Educational Gaming #61

GPA 6 — Grand Point Average (Educational GTA Parody)

An educational open-world game inspired by GTA (Grand Theft Auto) — but replacing violence with learning.

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Mario Kart Educational Racing Game
Educational Gaming #62

Mario Kart Educational Racing Game

A custom Mario Kart-style racing game designed for gamified course teaching.

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Temple Run Educational Game — Knowledge Obstacles
Educational Gaming #63

Temple Run Educational Game — Knowledge Obstacles

An educational game modelled on Temple Run where questions serve as obstacles.

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🦾 Robotics & Physical AI Automation (19)

AI Robot Lecturer — A Glimpse of the Future of Academia
AI Robotics #1

AI Robot Lecturer — A Glimpse of the Future of Academia

A humanoid robot lecturer powered by an onboard LLM and OpenAI agent that watches presentation slides, explains them on…

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Autonomous AI Companion Robot
AI Robotics #2

Autonomous AI Companion Robot

A fully autonomous AI companion robot capable of real-time conversation on any topic.

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Autonomous Robot with Multilingual Assistant
AI Robotics #3

Autonomous Robot with Multilingual Assistant

An autonomous humanoid robot enhanced with a multilingual human assistant capability.

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AI-Powered TonyPi — Three AI Engines Onboard
AI Robotics #4

AI-Powered TonyPi — Three AI Engines Onboard

A TonyPi humanoid robot running three independent AI engines entirely onboard — no cloud relay PC required.

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Robot Financial Analyst with Documentary-Style Narration
AI Robotics / FinTech #5

Robot Financial Analyst with Documentary-Style Narration

A fully autonomous see → think → narrate pipeline built into a humanoid robot.

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Robot with Onboard AI — Local Vision and Voice
AI Robotics #7

Robot with Onboard AI — Local Vision and Voice

A humanoid robot running AI entirely inside its own system, matching the capability of cloud-based language models.

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AI Robot Finance Coach for Children
AI Robotics / EdTech #8

AI Robot Finance Coach for Children

A talking humanoid robot designed to teach financial literacy to children.

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AI Robot Lecturer 2.0 — Always-On Zoom Teaching
AI Robotics / EdTech #46

AI Robot Lecturer 2.0 — Always-On Zoom Teaching

An upgraded demonstration of the robot lecturer system with enhanced onboard LLM and OpenAI agent capabilities.

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Trio App — AI + Robotics Teaching Breakthrough
AI Robotics / EdTech #47

Trio App — AI + Robotics Teaching Breakthrough

A complete hardware-software integration where a TonyPi humanoid robot joins Zoom calls, watches shared screens via HD…

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Robot Lecturer That Never Sleeps
AI Robotics / EdTech #48

Robot Lecturer That Never Sleeps

A humanoid robot that joins Zoom like a real professor, sees slides through its camera, understands every detail with A…

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Raspberry Pi Robot as 24/7 AI Lecturer
AI Robotics / EdTech #49

Raspberry Pi Robot as 24/7 AI Lecturer

A Raspberry Pi-powered robot configured as a permanent AI lecturer in a Zoom room.

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Robot as Autonomous AI Companion — Full Independence
AI Robotics #50

Robot as Autonomous AI Companion — Full Independence

A milestone achievement where the humanoid robot transitions from a programmed machine to a fully autonomous AI compani…

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24/7 AI Teaching Assistant Robot
AI Robotics / EdTech #51

24/7 AI Teaching Assistant Robot

A robot-based AI teaching assistant that maintains a permanent Zoom presence, allowing students to join anytime, anywhe…

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Robot Running Zoom Autonomously — Full AI Automation
AI Robotics / EdTech #52

Robot Running Zoom Autonomously — Full AI Automation

A humanoid robot that runs Zoom meetings completely autonomously using its own HD camera as video feed, its own microph…

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AI-Powered TonyPi — Three Onboard AI Engines (No Cloud PC)
AI Robotics #53

AI-Powered TonyPi — Three Onboard AI Engines (No Cloud PC)

A self-contained TonyPi humanoid running three AI engines entirely within its own hardware — eliminating the need for a…

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Robot Financial Analyst and Documentary Narrator
AI Robotics / FinTech #54

Robot Financial Analyst and Documentary Narrator

A fully autonomous see → think → narrate pipeline where a humanoid robot analyses company financial statements from its…

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Talking Robot That Teaches Children Money Skills
AI Robotics / EdTech #55

Talking Robot That Teaches Children Money Skills

A humanoid robot reimagining how children learn financial literacy — replacing boring textbooks with interactive, embod…

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Cloud Robotics Network — Distance-Agnostic Multi-Agent System
AI Robotics / Cloud #81

Cloud Robotics Network — Distance-Agnostic Multi-Agent System

A distributed robotics architecture where autonomous agents separated by thousands of miles communicate seamlessly thro…

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Real-World Robot Gaming — From Screens to Streets
AI Robotics / Gaming #89

Real-World Robot Gaming — From Screens to Streets

A vision for the next frontier of esports where gaming, robotics, and AI converge.

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What I Build

🧠

Custom LLMs

Self-hosted large language models with zero cloud dependencies

🎮

AAA Game Dev

Unreal Engine 5 games for PC, Xbox, PlayStation, Switch

🎤

Voice AI

Speech-to-text (Whisper) and text-to-speech (XTTS) systems

🌎

Multilingual

Applications supporting 17+ languages with real-time translation

Research as Sound & Story

Data Emotionalisation

Research findings transformed into AI-generated songs and emotional narratives.

RESEARCH INNOVATIONPROJECT #56

Millions of Stories, One Song

Sole Parent Financial Wellbeing research converted into an AI-generated song — “Set Fire to the Pain” — where lyrics directly reference research results.

AI AudioAI VideoNLP
RESEARCH INNOVATIONPROJECT #94

Am I My Brothers’ Keeper?

93–96% of hardship damage is psychological, not financial. Every lyric is a real coefficient. Every verse maps to actual model output.

Cox SurvivalDeepHitAI Music
PRODUCTION PLATFORM

Emotion Studio

The production platform that turns research datasets into narrated songs and short films at scale.

Student Projects

These are not my projects. These were built by my students — people with no prior coding experience who learned to build intelligent systems from scratch. My role is teacher, not builder. Their role is innovator.

Student-Developed Automation Apps

💰
Student Project Live in Production

AI-Powered POS & Business Platform

Built for a real NZ business — by a student with zero coding background

The Story

I built an entire AI-powered business platform in front of my friend. He had never written a line of code in his life. Here’s what happened next — and why it changed how I think about AI entirely.

My friend runs a business in NZ. Over the years, he had stitched together a patchwork of separate software tools — one for this, another for that — each with its own subscription, its own login, its own learning curve. It worked. But just barely.

So I sat down with him. No slides. No pitch. Just questions. “Walk me through your day. What do you do first? Where do things slow down? What frustrates you?”

As he talked, I built. In real time, in front of him, I took every answer he gave me and turned it into automation — collapsing his scattered tools into a single, cohesive, AI-powered platform built specifically for how his business actually works. Not a template. Not a generic SaaS solution. His business, automated.

He has a school education. No university degree. No technical background. No prior exposure to software development. And yet — within a week of watching how it was done — he was building his own automations. Extending the platform. Solving new problems himself.

“AI has made the ability to build something remarkable completely independent of formal qualification.”

The old world said: to build software, you need a computer science degree. To automate business processes, you need a consultant. To deploy AI, you need a data science team. The new world says: you need curiosity, a clear understanding of your problem, and the willingness to ask the right questions.

Tech Stack

PWA Supabase Stripe QR Payments Kitchen Display AI Automation Xero Integration Real-time Sync

Development Process

① Interview — understand the business workflow

② Live build — convert answers into automation in real time

③ Handover — student watches, learns, takes over

④ Independence — student extends the platform themselves

🏆 Outcome

A student with no coding or university background is now building his own AI-powered automations. He’s planning to launch a new business: helping other small and medium enterprises across New Zealand do exactly what he experienced — automate, consolidate, and operate smarter without enterprise budgets or technical teams.

This is what our courses deliver: you become tech-enabled in a short time and create your own systems.

Demo Videos

POS Network Setup

POS Network Config

🤖
Children’s Project AI + Robotics Running on Local NVIDIA

AI-Powered School Tutor & Humanoid Robot Companion

Built with a primary school student — who is now learning to create her own AI systems

The Story

Meet Rhianna. I’ve been babysitting her since before she could even speak, and now she’s in primary school. She’s soon going to launch her own LinkedIn account and personal website.

I gifted her a powerful NVIDIA PC and a humanoid robot. We sat together and discussed the kind of stuff she wants to create and the hurdles she faces in her studies. Then we got to work.

We created a complete AI-powered education app for NZ students from Year 1 to Year 13. The automated AI tutor teaches every subject covered in the New Zealand school curriculum and also includes language learning across numerous languages. The best part: we trained our own LLM model specifically designed for children, hosted on her own NVIDIA machine — and the model adjusts itself to the grade level of the student. We made sure it talks like a friend and brings humour into teaching.

We then created our own voice server for text-to-speech and speech-to-text, where the student can select any voice, accent, and language — and the app remembers their chosen style. We also deployed our own translator server on her NVIDIA machine.

And the best part — we linked the app to the humanoid robot and programmed it to use its vision, voice, and movement through voice control and through the education app. When the robot is asked to read something or explain what it’s seeing, it uses our models running on our servers. The robot moves and performs different tasks based on what the student wants. It makes funny movements based on what the student says and how they perform during learning.

We don’t even need access to the internet — everything is powered by her own NVIDIA machine.

“While schools debate whether to allow AI in classrooms, a primary school student is already building with it — training her own models, controlling a robot, and learning every subject through an AI companion that speaks her language.”

The old world says: children are consumers of technology. The new world says: children are builders of technology — if you give them the right tools and the right teacher. My mission is to empower children with AI and automation skills so they can start doing amazing work from a young age.

Tech Stack

NVIDIA RTX 4090 Custom LLM Local TTS Server Local STT Server Translator Server Humanoid Robot Computer Vision NZ Curriculum API Zero Cloud Dependency

Development Process

① Conversation — understand the child’s learning struggles

② Build together — create a full AI tutor covering Year 1–13

③ Personalise — custom LLM, voice, accent, and language choice

④ Connect the robot — vision, voice, and movement integration

⑤ Empower — train the child to build and extend it herself

🏆 Outcome

A primary school student now has her own NVIDIA-powered AI infrastructure, a humanoid robot companion, and a personalised AI tutor that covers her entire school curriculum — all running locally with zero internet dependency and complete data privacy.

She is now learning to extend the system herself. I will train her, her cousins, and her friends — and within six months, they will start creating their own AI automation apps. She is planning to launch her own LinkedIn account and personal website to showcase her work.

This is the real promise: AI education doesn’t start at university. It starts the moment a child is curious enough to ask “how does this work?”

Business Analytics & Research Projects

📊
Student Project AI + Advanced Analytics 437,006 Observations

Financial Hardship Dynamics — AI-Automated Research Platform

A business management student building her own AI-powered analytics systems after taking my course

The Story

She came from a business management background. No programming experience. No data science training. No exposure to machine learning or survival analysis. She enrolled in my analytics course — and what happened next is why I believe AI changes everything about how we do research.

Together, we built a complete AI-automated research analytics platform that analyses 21 years of longitudinal household data — 437,006 observations across 43,784 households — from one of the world’s largest high-dimensional panel datasets.

The platform doesn’t just run models. It automates the entire research pipeline: data preparation, variable construction, competing risks survival analysis, transition matrices, spell dynamics, and even auto-generates publication-ready draft sections with tables, figures, and AI-written commentary.

The research question itself is powerful: What is the first financial hardship a household experiences? How do they transition between hardship states? What determines who escapes and who gets trapped? The platform discovered that 49.6% of first-time hardship begins with unpaid bills, and that 93–96% of the lasting damage from hardship is psychological, not financial.

She is now extending the platform herself — adding new research topics, running her own models, and building analytical tools that would normally require an entire data science team.

“A business management student — with no prior coding experience — is now independently running survival analysis, competing risks models, and neural network research on 437,000 observations. That’s not a student. That’s a researcher.”

The old world said: to do advanced econometrics, you need years of statistics training. To run machine learning models, you need a computer science degree. To analyse panel data at this scale, you need an entire research team. AI collapsed all of that into one student, one course, and one platform.

Tech Stack

Python Dash Cox Competing Risks DeepHit Neural Networks Hybrid Cox-NN Model Random Survival Forests SHAP Explainability High-Dimensional Panel Data AI Draft Generator Local LLM

Development Process

① Course — learn analytics foundations and AI tools

② Data — prepare 21 years of panel data (437K observations)

③ Models — build Cox, DeepHit, and hybrid survival models

④ Automate — create full pipeline from raw data to draft

⑤ Extend — student adds new topics and runs independently

🏆 Outcome

A business management student with zero programming background delivered a research-grade analytics platform that processes one of the world’s largest household panel datasets. The platform runs five classes of survival models (Cox PH, Fine-Gray competing risks, Random Survival Forest, DeepHit, and a novel Hybrid Cox-Neural Network), generates transition matrices, spell analysis, and auto-writes publication-quality draft sections targeting A* and FT50 journals.

She is now independently extending the platform with new research topics — adding family network analysis, intergenerational transmission, and wellbeing cascade models — all built on the same AI-automated infrastructure.

This is the future of research: AI doesn’t replace researchers. It turns every curious student into one.

Student-Built Research Platforms

Advanced analytics platforms built by supervised students using real-world data. Each project demonstrates end-to-end research automation.

FEATURED ABOVE 437K OBSERVATIONS

Financial Hardship Dynamics Platform

437,006 observations across 21 years of HILDA data. Automated survival analysis, transition matrices, competing risks, and AI-generated research draft sections.

Python Dash Cox Competing Risks DeepHit Neural Networks Hybrid Cox-NN SHAP Ollama/Phi-4
PANEL DATA R²=0.205

FamNet — Family Network Transitions

Household-to-individual transmission analysis across partner, parent, and child dyads. Tracks financial anxiety trajectory (t=0, t+1, t+3) after household financial hardship landing. N=285,978 individuals.

Python Dash HybridNeural Multilevel Panel Data
ML DASHBOARD

Fisheries ML Dashboard

Fisheries analysis dashboard with machine learning models and AI commentary for automated interpretation of results.

Python Dash Cox PH Random Forest Competing Risks Ollama/Phi-4
R² 0.93+ 13 ML MODELS

Property Valuation Platform (Ames Housing)

Seven-tab property valuation system including geographic visualisation and comparable sales analysis. Linear, Ridge, Lasso, Random Forest, XGBoost, LightGBM, CatBoost, and Stacked Ensemble models.

Streamlit 13 ML Models OpenStreetMap

30+ Student Research Projects

Supervised across Master of Analytics, Master of Finance, PhD, and industry internship programmes.

2020 — Te Ara Ahunga Ora Retirement Commission Internship Cohort

Te Ara Ahunga Ora Retirement Commission INTERNSHIP Master of Analytics

Drivers of Household Debt During COVID-19. Te Ara Ahunga Ora Retirement Commission Barometer data + Westpac economic bulletin.

Te Ara Ahunga Ora Retirement Commission INTERNSHIP Master of Analytics

Occupation Classification and COVID-19 Impact on Financial Wellbeing. Te Ara Ahunga Ora Retirement Commission Barometer data.

Te Ara Ahunga Ora Retirement Commission INTERNSHIP Master of Analytics

Sorted Website User Behaviour Analysis. Retirement Commission / Sorted proprietary data.

HILDA DATA Master of Analytics

Financial Hardship Analysis using HILDA longitudinal panel data.

2022 — Master's Supervision

HILDA DATA Master of Analytics

Learning Disability and Financial Hardship. HILDA longitudinal data.

NOW PhD MBS → PhD

Sole Parenting and Financial Wellbeing of New Zealanders. Retirement Commission data. Now PhD.

ANZ DATA Master of Analytics

Kiwis and Retirement Planning. ANZ Financial Wellbeing Survey (NZ) + Retirement Commission data.

2023 — Master's Supervision

ANZ SURVEY Master of Analytics

Financial Parenting and Emergency Saving. ANZ 2021 Financial Wellbeing Survey.

SHARE DATA Master of Analytics

Health Shocks and Financial Resilience. European SHARE panel study.

HILDA DATA Master of Analytics

Financial Wellbeing of Women. HILDA data with ANZ survey benchmarking.

2024 — Master's & Applied Analytics

ANZ DATA Master of Analytics

Financial Wellbeing research. ANZ 2021 NZ General Population survey. Multiple projects.

HILDA + ANZ Master of Analytics

Gender Differences in Financial Risk-Taking. HILDA + ANZ Financial Wellbeing Survey data.

155K RECORDS Master of Analytics

Debt Dynamics in NZ. FinCap Client Voices — 155,482 records. Third-tier lender analysis.

2025 — Current Supervision

FEATURED ABOVE Master of Analytics

Financial Hardship Dynamics — 437K observations, AI-automated research platform.

PhD CANDIDATE Doctoral

PhD research — General Social Survey data. Progressed from MBS to doctoral programme.

PSID DATA Master of Analytics

US Panel Study of Income Dynamics (PSID) econometric analysis.

HILDA + ML Master of Analytics

ML models for predicting financial hardship. Decision trees on HILDA panel data.

Data Partners & Organisations

Te Ara Ahunga Ora Retirement Commission Westpac Massey Fin-Ed Centre FinCap (155K+ records) Sorted.org.nz HILDA (Melbourne) Ministry of Health NZ SHARE (European Panel) PSID (US Panel)

Supervision Overview

20+
Years
5
Countries
100+
Students
7+
Years at Massey

Doctoral Research: Currently supervising PhD candidate in Household Finance & Financial Inclusion — 2+ years of advanced econometrics, survival analysis, and IDI-based research.

Master of Analytics (ongoing since 2018): Applied Econometrics, Big Data in Finance (first SAS Viya deployment in Asia Pacific), Financial Hardship research, panel data analysis. SAS/Python dual-language methodology.

Master of Finance: Multiple cohorts in financial economics, corporate finance, investment analysis, and behavioural finance.

Industry Internships: Dozens supervised across NZ organisations in data analytics, financial services, and technology. Several A/A- grades with strong client feedback.

International Teaching: UK (Durham, Aberystwyth), Singapore (PSB Academy/Massey), Mauritius, Pakistan, and New Zealand.

Why This Matters

In the old world: to build software you needed a CS degree. To run advanced econometrics you needed years of statistics training. To automate a business you needed consultants. AI collapsed all of that. A child. A friend with no degree. A business management student. Each of them now building systems that would have required entire teams five years ago. This is the future of education — and AutoMatrixLab is built for it.

Commissioned Research Projects

Research and analytics projects commissioned by or conducted in collaboration with NZ government agencies, financial institutions, and industry organisations. Completed through Massey University Fin-Ed Centre, earning significant revenue for the school and Centre.

Ministry of Health & Public Health

COMMISSIONED Ministry of Health + FinCap

Gambling Harm Identification Using Client Voices Data

Commissioned by Ministry of Health NZ. Analysed FinCap Client Voices data to identify gambling-harm trends and guide prevention policies.

Retirement Commissioner / Sorted.org.nz

RETIREMENT COMMISSION Te Ara Ahunga Ora (Retirement Commission)

Government vs Community Support in Times of Crisis

Compared crisis-response effectiveness between government and community support in NZ and Australia. Provided policy recommendations.

RETIREMENT COMMISSION Te Ara Ahunga Ora (Retirement Commission)

COVID-19 Impact on Financial Wellbeing of Single Parents NZ

Used proprietary Retirement Commission data to identify financial hardship factors and recommend targeted interventions for single parents.

RETIREMENT COMMISSION Te Ara Ahunga Ora (Retirement Commission)

Teleworking Ability & Financial Wellbeing During COVID-19

Investigated teleworking impact on wellbeing and income stability of NZ labour force using Retirement Commission datasets.

SORTED.ORG.NZ Te Ara Ahunga Ora (Retirement Commission)

Sorted Website User Behaviours

Explored engagement patterns among frequent and infrequent Sorted website visitors to enhance NZ financial-literacy initiatives.

IN PROGRESS NZ Fin-Ed Centre

Financial Knowledge & Advice-Seeking Behaviour by Ethnicity

2026 (in progress) · NZ Fin-Ed Centre. Cultural Perception and Financial Wellbeing surveys (preliminary analysis through Massey Westpac Fin-Ed Centre).

Westpac Massey Fin-Ed Centre — ANZ Financial Wellbeing Survey Stream

PROPRIETARY DATA Westpac Massey Fin-Ed Centre

Household Financial Wellbeing in Australia & NZ

Used the ANZ Financial Wellbeing Survey (NZ) dataset, accessed through the Westpac Massey Fin-Ed Centre research consortium, to map financial-wellbeing patterns and guide capability frameworks for households across AU and NZ. ANZ is the data source; the Fin-Ed Centre is the commissioning party.

FIN-ED CENTRE Westpac Massey Fin-Ed Centre

Mental Wellbeing, Financial Capability & Emergency Preparedness

Used the ANZ Financial Wellbeing Survey (NZ) dataset, accessed through the Westpac Massey Fin-Ed Centre research consortium, linked with FinCap caseload data, to explore correlations between mental health, financial hardship, and emergency readiness.

FinCap & Financial Capability

FINCAP DATA FinCap

Debt Dynamics in NZ: Home Loan Affordability & Third-Tier Lenders

Analysed FinCap client data to assess debt distribution and home-loan affordability trends. Informed responsible-lending strategies.

Māori Enterprise & Community

PUBLISHED REPORT Sky City · via Fin-Ed Centre

Financial Capabilities of MWDI Loan Clients

Sponsored by Sky City and delivered through the Westpac Massey Fin-Ed Centre. Analysed MWDI loan client data to evaluate Māori wahine and whānau business finance needs and inform policy and support programmes for Māori entrepreneurs.

PUBLISHED REPORT Fin-Ed Centre

Fostering Māori Enterprise Financial Capability

Published report on Māori enterprise financial capability. Carried out analysis on Financial Health Check and Cultural Perception surveys.

COMMISSIONED REPORT Fin-Ed Centre + Te Au Rangahau

Te Manu Ka Rere — Māori Enterprise Financial Capability

2018 · Westpac Massey Fin-Ed Centre + Te Au Rangahau. Financial capability of Māori entrepreneurs and enterprise viability across Auckland and Northland.

Industry & Institutional

INDUSTRY NZ Automobile Association

Customer Lifetime Value & Cross-Selling

Applied advanced segmentation models to NZAA customer data. Identified strategies to improve loyalty and retention.

NON-PROFIT NZ Red Cross

Website Performance Insights

Analysed proprietary traffic data to evaluate user engagement and improve marketing and public-awareness strategies.

INSTITUTIONAL Massey University Provost

Student Completion & Retention Rates

Analysed proprietary Massey data across 20+ admission criteria investigating factors influencing student completion and retention.

INDUSTRY Swanson RSA

Understanding Customers Using Daily Eftpos Sales Data

Used Eftpos data to generate customer-segmentation insights supporting targeted outreach.

Advisory & Consulting

Advisory and consulting roles distinct from the commissioned research projects above. These are subject-matter and technical advisory engagements with NZ public and private organisations.

Provided technical and subject-matter research advice to NZ public and private organisations including:

Ministry of Social Development · Financial Markets Authority · Inland Revenue · Banks & Insurance Providers · District Health Boards · Manufacturing Industries

Also assisted Silicon Valley-based startups with AI and analytics projects through global joint ventures.

SAS Institute Partnership

First SAS Viya university deployment in Asia Pacific (Massey University). Pilot participant shaping SAS Viya V2 with direct technical feedback to SAS USA team. 2026 SAS Global Educator Award recipient (Asia Pacific). Connected SAS with NZ's largest analytics community.

Published Research & Reports

Published Academic Papers

A* JOURNAL 2022

When It Rains It Drains: Psychological Distress and Household Net Worth

Journal of Banking and Finance

Establishes negative effect of psychological distress on household net worth using U.S. panel data. K6 distress increase decreases net worth by 13.2%.

DOI: 10.1016/j.jbankfin.2022.106620

FT50 JOURNAL 2015

Stock Market Literacy, Trust, and Participation

Review of Finance

Distinct channels of stock market literacy and trust in stock ownership decisions. Literacy matters more than sociability.

DOI: 10.1093/rof/rfu040

BEST THESIS AWARD 2015

Essays in Household Finance (Doctoral Thesis)

Durham University Business School

Doctoral research on household financial decision-making, psychological distress, and financial literacy. Best Thesis Award at Summer Congregation 2015.

Conference Presentations

AWARD RECIPIENT April 2026

SAS Innovate 2026

Grapevine, Texas, USA. Received the SAS Global Educator Award (Asia-Pacific) for pioneering SAS Viya teaching at Massey University — the first university in Asia-Pacific to adopt SAS Viya for student instruction.

INAUGURAL APAC EVENT 2026

SAS Educate APAC 2026

Inaugural SAS Educate Asia Pacific event. Showcased integrating SAS Viya with AI and machine learning in university analytics curriculum, demonstrating SAS + Python dual-language data science methodology.

PAPER PRESENTED 2020

50th Anniversary FMA Annual Meeting

New York, USA. Presented “When It Rains It Drains: Psychological Distress and Household Net Worth” at the Financial Management Association’s 50th anniversary meeting — a premier international conference in finance.

PAPER PRESENTED 2019

Westpac Massey Fin-Ed Conference

Auckland, New Zealand. Presented research on financial capability and household wellbeing at the Building Financially Capable Communities Conference. Research informed national policy on financial literacy.

PAPER PRESENTED 2015

Royal Economic Society Annual Conference

Manchester, UK. Presented “Stock Market Literacy, Trust, and Participation” — published in Review of Finance (FT50). Established how financial literacy and institutional trust drive stock market participation.

PAPER PRESENTED 2012

BAFA Annual Conference

Durham, UK. Presented doctoral research at the British Accounting and Finance Association Northern Area Group and Interdisciplinary Special Interest Group conference during PhD at Durham University.

Awards & Honours

SAS Global Educator Award 2026

Asia-Pacific Region — SAS Institute

Presented at SAS Innovate, Grapevine TX, April 2026

Massey University was the first university in Asia-Pacific to teach SAS Viya — introduced and taught from its earliest development stage. Helped shape SAS Viya V2 as a pilot participant providing direct technical feedback to the SAS USA team.

🏆

Best Thesis Award

Durham University Business School — 2015

Summer Congregation 2015. PhD in Accounting & Finance. Distinction in all coursework.

🌐

Commonwealth Scholarship — Full Fee & Maintenance Grant

Commonwealth Scholarship Commission, UK — 2010

Full doctoral scholarship for studies at Durham University (2010–2014). One of the most competitive scholarships in the world.

🌟

Most Outstanding Contribution to College Life Award

Durham University — 2011 & 2012

Awarded twice for exceptional contribution to university community life.

🦸

Undercover Hero Award

Durham University — 2012

🏳️

Ambassador to the College Award

Durham University — 2012

🎓

Multiple Massey Business School Awards & Nominations

Massey University — 2018–Present

Consistently excellent course evaluations across all three campuses (Auckland, Wellington, PSB Singapore).

🏅

Second Position & Merit Scholarship — MBA

Institute of Business Management — 2006–2008

CGPA 3.68/4.0. Second in graduating class.

🏅

Fourth Position & Merit Scholarship — B.Eng

NED University of Engineering & Technology — 2001–2004

CGPA 3.55/4.0. Industrial Electronics.

⚖️

Associate Fellow — Higher Education Academy (AFHEA)

Advance HE, UK — 2015

Credential ID: PR055577

📜

Durham University Learning and Teaching Award (DULTA)

Durham University — 2014

👑

President — Graduate Common Room

Durham University — 2013–2014

Elected president. Previously served as International Students Officer (2011–2013).

★ SAS Global Educator Award 2026

Dr Adnan Balloch

Engineer. Researcher. Educator. Builder. Founder.

A career spanning four disciplines that rarely meet in one person: Electronics Engineering, Financial Economics, Management, and Artificial Intelligence. Taught at Durham University (UK), Aberystwyth University (UK) and its Mauritius campus, NED University of Engineering & Technology (Pakistan), Massey University (New Zealand) and its Singapore campus at PSB Academy — five countries across Europe, Africa, Asia, and the Pacific.

Started as an Instrument & Control Engineer automating industrial giants across petroleum, telecoms, hospitals, manufacturing, and logistics — building safety-critical control systems for British Petroleum (BP), OMV, NRL, OGDCL, Pakistan Steel Mills, and Pak Suzuki. As an engineering undergraduate in 2002, built an interactive cable TV voting system via SMS that spread across South Asia — years before streaming existed.

After a PhD at Durham University (UK), led corporate finance teams at Deloitte, delivered projects for The World Bank and international investors, and collaborated with Silicon Valley AI startups. In New Zealand, advised the Ministry of Social Development, Financial Markets Authority, Retirement Commission, FinCap, IRD, major NZ banks, insurance providers, Ministry of Health, and District Health Boards.

Developed the first-ever university course using SAS Viya at a time when both academia and industry were barely aware of the platform. Shaped its V2 as a pilot participant, built SAS automation applications, and taught the entire SAS software ecosystem. In 2026, SAS Institute named me a Global SAS Educator Award winner (Asia Pacific) — featured in the official press release, personally invited to SAS Innovate 2026 in Texas to receive the award among Fortune 100 executives and top tech leaders, and attended the inaugural SAS Educate APAC 2026.

Today building AutoMatrixLab — 100+ AI-powered applications, multilingual courses, and gamified learning for 500M+ Hindi, Urdu, and multilingual learners. At its core: “Educational Jarvis” — an always-on, screen-aware AI companion on local NVIDIA RTX 4090 infrastructure, orchestrating intelligent agents across every tool you use.

100+
AI Projects
5
Countries
5
Languages
22+
Years Experience

Experience

Senior Lecturer — Finance, AI & Analytics

Massey University, Auckland & Singapore (PSB Academy) | Jan 2018 – Present (7+ years)

Developed ‘Big Data in Finance and Banking’ and ‘Applied Econometrics Methods’ courses for Master of Analytics. Pioneered the first-ever university course using SAS Viya at a time when both academia and industry were barely aware of the platform. Shaped its V2 as a pilot participant providing direct technical feedback to the SAS USA team. Built SAS automation applications and taught across the entire SAS software ecosystem. Built 100+ AI applications on local NVIDIA RTX 4090 infrastructure. Supervised PhD and Master’s students in advanced analytics and household finance. See Student Projects for details. Also taught at Massey’s Singapore campus at PSB Academy. Recipient of the 2026 SAS Global Educator Award.

Consultant — Public and Private Organizations

New Zealand | Jan 2019 – Present (6+ years)

Assisted Ministry of Social Development, Financial Markets Authority, Retirement Commission, FinCap, IRD, banks and insurance providers with data analytics consulting, policy research, and advanced econometric modelling.

Lecturer in Accounting & Finance

Aberystwyth University, Wales, UK & Mauritius Campus | Jan 2016 – Jan 2018 (2 years)

Program Leader for Accounting and Finance. Module Leader for Investments and Financial Instruments, Corporate Finance, Financial Management, Auditing, and Financial Accounting. Also taught at Aberystwyth’s transnational campus in Mauritius.

Consultant — AI and Analytics Joint Ventures

Silicon Valley & Global | Jan 2015 – Dec 2017 (3 years)

Assisted several organisations including Silicon Valley based startups with local and overseas artificial intelligence and analytics projects.

Consultant — Corporate Finance

Deloitte, Pakistan | Jan 2016 – Dec 2016

Led corporate finance teams in consulting and advisory projects for international clients including The World Bank and high-profile international investors. Provided training and mentorship to consulting teams.

Research Student Teacher

Durham University Business School, UK | Jan 2011 – Mar 2013

Taught seminars in Advanced Microeconomics and Economic Principles modules. Assisted postgraduate students in dissertation work.

Visiting Professor

Institute of Industrial Electronics Engineering (IIEE), NED University, Pakistan | 2006 – 2009

Taught Engineering Economics and Mathematics modules at the same institution where I graduated as an Industrial Electronics Engineer. Conducted workshops in computer programming and automation.

Assistant Manager — EMI/EMC Engineering & Quality Compliance

National Engineering & Scientific Commission of Pakistan | Jan 2006 – Dec 2010 (5 years)

Led ISO 9001, 14001 and OHSAS compliance and EMI/EMC Engineering across major industrial clients in petroleum, telecoms, hospitals, manufacturing, and logistics. Delivered automation and instrumentation projects for OGDCL, Pakistan Steel Mills, Pak Suzuki, and national telecom and healthcare infrastructure. Supervised quality management systems and electromagnetic compatibility testing across diverse industrial environments.

Instrument & Control Engineer

ENAR Petrotech Services Pvt. Ltd. | Jan 2005 – Dec 2005

Designed, implemented and supervised instrumentation and control systems for petroleum giants including British Petroleum (BP), OMV, and NRL. Automated industrial processes across petrochemical, manufacturing, and energy sectors — building safety-critical systems where failure means explosions, chemical leaks, or production losses costing millions per hour.

Industry Collaborations

SAS Institute — Global Educator Award (Asia Pacific) & APAC Pioneer

First university in Asia Pacific to teach with SAS Viya — deploying it at a time when both academia and industry were barely aware of the platform. Shaped SAS Viya V2 as a handpicked pilot participant, providing direct technical feedback to SAS USA. Built SAS automation applications using cloud and local license installations. Taught the entire SAS software ecosystem: Base SAS, SAS/STAT, SAS/ETS, Enterprise Miner, Enterprise Guide, SAS/GRAPH, SAS/OR, SAS Studio, SAS Viya, JMP, and more. Recipient of the 2026 SAS Global Educator Award (Asia Pacific). Personally invited to SAS Innovate 2026 in Texas. Attended the inaugural SAS Educate APAC 2026.

New Zealand Government & Regulators

Assisted Ministry of Social Development, Financial Markets Authority, Retirement Commission, FinCap, IRD, Banks, Insurance providers, Ministry of Health, DHBs and manufacturing industries with analytics and subject matter advice.

Silicon Valley & Global Joint Ventures

Assisted several organisations including Silicon Valley based startups with local and overseas artificial intelligence and analytics projects through global joint venture collaborations.

Massey University Fin-Ed Centre

Completed several commissioned and noncommissioned analytics and research projects for Massey University Fin-Ed Centre, earning significant revenue for the school and the Centre.

Education

🎓

PhD in Finance

Durham University Business School, UK | 2011–2015

Best Thesis Award • Distinction in all coursework

Commonwealth Scholarship (full fee and maintenance grant). Research focus on household finance, financial literacy, and stock market participation. Published in FT50 journals.

📈

MBA — Finance

Institute of Business Management, Pakistan | 2006–2008

Second Position — CGPA 3.68/4.0

Merit scholarship recipient. Foundation for transition from engineering to financial research and academia.

B.Eng — Electronics

NED University of Engineering & Technology, Pakistan | 2001–2004

Fourth Position — CGPA 3.55/4.0

Merit scholarship (2001–2004). The engineering mindset that drives the technical architecture behind every AI project.

Full project catalogue → Applications

See the Research Programme tab

The full 23-paper research portfolio (4 in preparation) (4 published + 15 working) is now organised under the Research tab with filter chips for tier, research line, and submission status.

Conference Presentations

50th FMA Annual Meeting, New York (2020) Westpac Fin-Ed Conference, Auckland (2019) Royal Economic Society, Manchester (2015) British Accounting & Finance Association, Durham (2012) SAS Innovate 2026, Texas (Award Recipient & Invited Guest) SAS Educate APAC 2026 (Inaugural — Award Recipient)

Consulting & Government Research Projects (26)

25 research outputs — Behavioural Household Finance

Four research lines applying classical identification methods (panel FE, IV, DiD, Cox, Oaxaca-Blinder, Heckman, Oster bounds) to household-finance questions, with proposed causal-ML extensions (Double-ML, Causal Forests, Random Survival Forests) where each paper's identification design supports them.

Tier All A* A B C
Line All Disability Sole-Parent Psych Capital Women
Status All Published Working Thesis Student

Published Research Outputs

Six published outputs spanning JBF, Review of Finance, FamNet, Te Ara Ahunga Ora Retirement Commission Insights Bites, a Durham PhD thesis, and an NZ Ministry of Health commissioned report.

When It Rains It Drains Stock Market Literacy, Trust and Participation Shared Burden, Separate Scars
Published Tier A Psychological Capital

Shared Burden, Separate Scars

Economic Shock, Hardship Landing, and Intra-Household Financial Anxiety Contagion

Balloch, A. (FamNet Research)

Investigating Critical Social and Economic Issues using Advanced Panel Data Models
Published Tier — Unassigned

Investigating Critical Social and Economic Issues using Advanced Panel Data Models

Panel Data Methods for Social and Economic Policy

Balloch, A.

Commissioned Report Tier — Commissioned NZ Policy

Gambling Harm Identification using Client Voices Data

Project Report — commissioned by NZ Ministry of Health through Massey Westpac Fin-Ed Centre (2020)

Wood, P.; Balloch, A.

Commissioned project report identifying gambling harm patterns using FinCap’s Client Voices dataset. Links client-level financial-hardship indicators to gambling-harm signals to inform Ministry of Health policy on harm identification, screening, and referral.

Funder: NZ Ministry of Health (commissioned through Massey Westpac Fin-Ed Centre)

Working Papers & Forthcoming

Twenty working papers and supervised projects across the four research lines, with status badges marking publication-readiness.

Working From Home, Holding It Together
Working paper Tier B Sole-Parent Resilience

Working From Home, Holding It Together

Telework and Sole-Parent Financial Wellbeing

Balloch; Hsu; Till; Fang

Confidence That Pays Off
Working paper Tier A Psychological Capital

Confidence That Pays Off

Self-Efficacy, Wealth Formation, and Household Resilience

Reyers, M.; Balloch, A.

Mind Over Money Trouble
Working paper Tier B Psychological Capital

Mind Over Money Trouble

Locus of Control and the Persistence of Financial Hardship

Balloch, A.; Precious (likely)

Work From Home, Worry Less?
Working paper Tier C Unassigned

Work From Home, Worry Less?

Telework, Lockdowns, and Anxiety Across 151 Countries

Balloch + co-authors (TBC)

Learning Money at Home
Working paper Tier C Psychological Capital

Learning Money at Home

Family Financial Socialization and the Making of Capability

Balloch + Fin-Ed coauthors (TBC)

Money Lessons That Stick
Working paper Tier B Psychological Capital

Money Lessons That Stick

Financial Parenting, Capability, and Adult Wellbeing

Balloch + Fin-Ed coauthors [VERIFY exact list]

Financial Wellbeing and Teleworking Ability
Student deliverable Tier C Unassigned

Financial Wellbeing and Teleworking Ability

Empirical Evidence from New Zealand's Labour Force during COVID-19

Balloch + Tahir + others [VERIFY]

Falling Through the Cracks
Working paper Tier A NZ Disability + Finance

Falling Through the Cracks

Learning Disability, Financial Hardship, and Recovery Dynamics

Balloch + Shafiq (likely) [VERIFY]

When Family Ideals Meet Financial Reality
Working paper Tier C Sole-Parent Resilience

When Family Ideals Meet Financial Reality

Work-Family Attitudes, Sole Parenthood, and Hardship

Fahime Qarib (student first author) + Balloch (supervisor)

Who Holds the Purse Strings?
Working paper Tier C Women's Finance

Who Holds the Purse Strings?

Financial Decision-Making, Relationship Strain, and Separation Risk

Fiona Reid (student first author, ID 18036713) + Balloch (supervisor)

Weathering the Shock
Working paper Tier B Women's Finance

Weathering the Shock

Women's Financial Capability and Recovery After Life Events

Student + Balloch (supervisor)

When Risk Cuts Both Ways
Working paper Tier C Women's Finance

When Risk Cuts Both Ways

Gender, Financial Risk-Taking, and Hardship Recovery

Saeeda Nasir Syeda (Master of Analytics, ID 24003583; student first author) + Balloch (supervisor)

Caught in the Debt Trap
Working paper Tier C Sole-Parent Resilience

Caught in the Debt Trap

Third-Tier Lending, Housing Stress, and Financial Vulnerability

Balloch; Till, S.

When Health Shocks Hit Home
Working paper Tier C Unassigned

When Health Shocks Hit Home

Social Engagement, Welfare Regimes, and Financial Vulnerability

Balloch + Jasmine / Wendy (likely) [VERIFY]

Planning Against the Odds
Working paper Tier C NZ Disability + Finance

Planning Against the Odds

Disability, Debt Management, and Retirement Preparedness

Student + Balloch (supervisor)

Research in Progress

Four new HILDA 2026 papers in active preparation for the HILDA Survey Research Conference 2026 (1–2 October, Melbourne) and Tier-A post-conference journal submission. Findings reported on each detail page are from completed analysis runs; manuscripts and external links (SSRN, ResearchGate, journal DOI) will be added on first public release.

Research Lines

Four mutually-reinforcing umbrella narratives connecting the 25-output portfolio (4 in preparation).

NZ Disability + Finance

Disability operates as a friction in household financial-planning behaviour, with measurable cross-national variation in how the friction translates into outcomes. The NZ-specific evidence anchors a domain-policy line; international companion provides longitudinal comparison.

Sole-Parent Resilience

Sole-parent households are systematically more financially fragile than two-parent households. Fragility operates through three intersecting channels: COVID-era telework access, work-family attitude profiles, and exposure to third-tier credit in high-deprivation regions.

Psychological Capital

Non-cognitive psychological capital — self-efficacy, locus of control, financial-parenting transmission, and intra-household psychological-distress contagion — is the largest unmeasured determinant of household balance-sheet outcomes after demographic controls.

Women's Finance

Gender-asymmetric financial behaviour shows up across three HILDA-based papers: intra-family financial decision control, women's financial-capability buffering of life-event shocks, and gender-conditional risk-taking effects on hardship recovery.

Property Movement

How residential mobility after shocks — climate disasters, health shocks, property crime — shapes household financial trajectories. The selection-vs-response decomposition reveals climate-shock movers face a hardship cost three times larger than health-shock movers, with only 5.7% of the gap explained by pre-shock endowments. A new research line opened in 2026.

Conferences & Presentations

6 academic conferences, policy presentations, and recognised awards.

April 2026 Invited Talk

SAS Innovate 2026

Grapevine, TX, USA

SAS Global Educator Award — Asia-Pacific (recipient)

2019 Conference Paper

Westpac Massey Fin-Ed Centre's Building Financially Capable Communities Conference

Auckland, New Zealand

2015 Conference Paper

Royal Economic Society Annual Conference

Manchester, UK

Balloch, A.; Philip, D.; Nicolae, A.

→ View related paper (PUB2)
2012 Conference Paper

Northern Area Group and Interdisciplinary Special Interest Group Annual Conference (British Accounting and Finance Association)

Durham, UK

→ View related paper (PUB2)

Commissioned Research (13)

Thirteen canonical commissioned-research projects with NZ government agencies, financial institutions, and international research partners — each linked, where available, to the working paper or published output it produced.

C1 · 2020-2021

Te Ara Ahunga Ora Retirement Commission Financial Capability Barometer analysis stream — 2020 Master of Analytics internship cohort (6 students)

Client: Te Ara Ahunga Ora Retirement Commission (formerly CFFC)

6 student MAnalytics applied-analytics reports + Adnan-led Insights Bites publication

C2 · Apr 2022 · Linked: PUB4

Investigating Critical Social and Economic Issues using Advanced Panel Data Models

Client: Te Ara Ahunga Ora Retirement Commission — Insights Bites series

Published Insights Bites article

C3 · 2022 · Linked: P1

Sole Parenting and the Financial Wellbeing of New Zealanders (Sam Till 2022 MAnalytics intern report)

Client: Te Ara Ahunga Ora Retirement Commission

Master of Analytics report → working paper → PhD chapter

C4 · [year TBC] · Linked: P8

Teleworking + Government vs Community Support + Sorted-Website Behaviours

Client: Te Ara Ahunga Ora Retirement Commission (multi-project bundle)

Documentation deliverables for Retirement Commission

C5 · ~2020 (ongoing) · Linked: PUB6

Gambling Harm Identification Using FinCap's Client Voices Data

Client: Ministry of Health NZ (data: FinCap Client Voices)

Recommendations report to MoH; multi-year programme

C6 · 2022-2024 (ongoing) · Linked: P15

Debt Dynamics in NZ: Home Loan Affordability and Third-Tier Lenders

Client: FinCap (data: FinCap caseload data + RBNZ + Stats NZ)

Working paper + supervised Val Meng 2024 MAnalytics report

C7 · 2018-ongoing · Linked: P7

NZ-Representative Financial Wellbeing Survey-based programme (Financial Parenting, Women's Financial Wellbeing, Gender + Risk-Taking, FE-RA Topics 4/5/6)

Client: Westpac Massey Fin-Ed Centre (data: ANZ Financial Wellbeing Survey NZ)

Multi-paper programme (P7, P13, P14) + multiple supervised student feeder projects

C8 · 2025-2028

Fin-Ed Centre Draft Research Agenda 2025-2028 programme

Client: Westpac Massey Fin-Ed Centre (internally funded)

Multi-paper portfolio (cultural pressures, financial education in schools, KiwiSaver gender + ethnic women, mental health and retirement preparedness, etc.)

C9 · 2024-~2029

Financial and Social Sustainability of Individuals in Aotearoa NZ: Policy Reforms, Economic Shocks, and Household Resilience (Sam Till PhD)

Client: Stats NZ — Integrated Data Infrastructure (IDI)

PhD; published policy briefs feeding NZ Treasury / RBNZ / Productivity Commission

C10 · 27 Apr 2022

Student capstone using Contact Energy data — problem, solution, data structures and analytics

Client: Contact Energy Limited (NZX-listed gentailer)

Student capstone report (Massey-internal)

C11 · 2022-ongoing · Linked: P10

HILDA-data research stream — supervised student feeder projects (Anoop 2022, Cynthia 2023, Justene 2024, Kiara 2023, Linh Thuy Pho 2025, Ganesh 2023, Fahime 2025)

Client: HILDA — Australian Govt Department of Social Services (DSS) / Melbourne Institute

Multi-paper programme + 6+ supervised student feeders

C12 · 2023 · Linked: P16

Health Shocks and Financial Resilience: The Alleviating Effect of Social Engagement (Eduardo Chaves)

Client: SHARE multi-country European panel

Master of Analytics report → working paper

C13 · 2024

Analyzing Factors Influencing Crash Severity in NZ: A Data-Driven ML Perspective (Julie Caratao 2024)

Client: NZ Ministry of Transport (MoT) / NZ Transport Agency (NZTA / Waka Kotahi)

Master of Analytics report

Supervised Industry Internships (28)

Twenty-eight supervised Master’s and PhD industry internships and applied-analytics projects (2020–2025), spanning host partners including Te Ara Ahunga Ora Retirement Commission, Westpac Massey Fin-Ed Centre, FinCap, Contact Energy, MSD, Stats NZ IDI, and HILDA-data partnerships. Confidence ratings are HIGH or MEDIUM from the v9 source audit (2026-05-24).

2020 — 6 projects
Student Host Company Data Source Topic
Ahmad Soumakie Te Ara Ahunga Ora Retirement Commission (formerly CFFC) Te Ara Ahunga Ora Retirement Commission Financial Capability Survey Te Ara Ahunga Ora Retirement Commission external-data analytics (Master of Analytics internship)
Luis Felipe Salazar Jaramillo (ID 20016249) Te Ara Ahunga Ora Retirement Commission (formerly CFFC) Te Ara Ahunga Ora Retirement Commission Financial Capability Barometer (Feb-Sept 2020) "Teleworking ability and financial wellbeing of New Zealanders" (NZ Financial wellbeing + teleworking interaction × COVID)
Fiona Reid (ID 18036713) Massey University (in-house) HILDA "The effect of Intra-family financial decision-making and the health of family relationships"
Justene Urry (ID 95113338) Massey University (in-house) HILDA + NZ comparison data "Invisible Work, Visible Penalties — Cognitive Labour & Gender Inequality In Income" (motherhood penalty; AU vs NZ)
Vo Phuong Oanh ("May Vo", ID 20001453) Te Ara Ahunga Ora Retirement Commission (formerly CFFC) — Sorted.org.nz sub-brand (Te Ara Ahunga Ora Retirement Commission was rebranded Te Ara Ahunga Ora Retirement Commission in late 2021; 2020 contract still names Te Ara Ahunga Ora Retirement Commission) — Host contact: Dr Celestyna Galicki, Te Ara Ahunga Ora Retirement Commission Research Lead ([email protected]) Sorted.org.nz website internal page-view dataset (Google-Analytics export 2018-2021) + Sorted user survey data (self-selected user feedback survey) + cross-referenced Te Ara Ahunga Ora Retirement Commission Financial Capability Barometer (Feb-Sept 2020 wave) "The similarities and differences in behaviors and outcomes of frequent and infrequent visitors of the Sorted website (powered by Te Ara Ahunga Ora Retirement Commission)" — pre/during/post-COVID-19 lockdown user-behaviour analytics; demographic + content-preference clusters
Ellen (CV-only candidate) → resolves to Ruyun Zhang (Westpac Massey Fin-Ed Centre Research Assistant, Apr 2020-present + Data Analysis Intern Nov 2019-Mar 2020 — NOT a supervised MAnalytics dissertation; instead a Westpac-FinEd-Centre paid RA role with Adnan's involvement) Westpac Massey Fin-Ed Centre (RA role, not MAnalytics dissertation) — also touched FinCap COVID-19 forecasting model + Sorted Money Week + AANZ Financial Wellbeing Survey (New Zealand) ANZ ANZ Financial Wellbeing Survey (New Zealand) (per CV: "Research report on Financial Well-being and Financial Capability and Behavioural Characteristics based on ANZ bank survey data") RA work on financial-capability projects (not a single dissertation)
2021 — 4 projects
Student Host Company Data Source Topic
Americo Guazzelli Contact Energy (NZ electricity retailer) — explicit NDA with Adnan (contact: Tamlyn Leahy) Contact Energy internal pricing data "Pricing Adjustment: process optimisation"
Patrick Mark A. Juatchon (resolves v6 "Patrick" + "Juatchon" as the same person) Massey University (in-house; public-domain country data) Public COVID-19 data + Bloomberg (vaccination performance + country profile vars) "The dynamics of Economic, Country Profile, & COVID19 variables: An analysis of vaccination performances and policies of nations"
Maria Beatriz Martins Dias (resolves v6 "Maria") Ministry of Social Development (MSD), Wellington NZ MSD client experience data "MSD Client Experience"
Mengyao [first-name-only] Massey University (in-house) NZ regional housing market data (provider not named) "The Estimation of the Price Elasticity of Housing Supply in New Zealand"
2022 — 4 projects
Student Host Company Data Source Topic
Anoop Ambikumar (ID 14104186) Massey University (in-house) HILDA "Learning Disability and Financial Hardship during Major Life Events"
Sam Till (ID 19034767) Te Ara Ahunga Ora Retirement Commission (formerly CFFC) Retirement Commission Financial Capability Survey (NZ) "Sole Parenting and the Financial Wellbeing of New Zealanders" / Impact of COVID-19 on NZ financial vulnerability
Weina Cui Westpac Massey Fin-Ed Centre ANZ ANZ Financial Wellbeing Survey (New Zealand) (likely 2021 wave) "Psychological Distress of Kiwis and Retirement Planning" (mental health, financial capability, emergency savings)
Karthik Sankaralingam RECT Polytechnic (Tamil Nadu, India) — Chairman Muthiah RECT Polytechnic student admissions data (5 years) "Improving post-COVID student admissions strategy via analytics"
2023 — 6 projects
Student Host Company Data Source Topic
Christina Goh (ID 22011415) Massey University (in-house) HILDA "The Impact of Education, Financial Decisions, and Life Events on the Well-Being and Saving and Spending Behaviour of Couples" (couples × joint-vs-individual financial decisions × HILDA)
Cynthia Teng Massey University (in-house) HILDA (codebook present in folder) "Analysis of Learning Disability and Financial Hardship" (Australia focus)
Diyako Rahmani Massey University (in-house) HILDA (likely; Stata methods) "Financial parenting and emergency saving — The role of family communication patterns and financial socialization in enhancing financial resilience"
Eduardo Bernardoni Chaves (ID 22004916) Massey University (in-house; co-supervised with Prof Hamish Anderson) HILDA "Health Shocks and Financial Resilience — The Alleviating Effect of Social Engagement"
Joan Maria Pantaleon Coelho (resolves v6 "Joan Coelho") Massey University (in-house) — Master of Finance HILDA (disability + retirement focus) "Financial Preparedness and Retirement Planning — Saving Behaviours, Debt Management, and Future Financial Security among Individuals with Disabilities"
Kiara Saiyuri Reathlall (resolves v6 "Kiara Reathlall") Massey University (in-house) — Master of Business Studies in Finance HILDA "Financial Wellbeing and Capability of Women during Negative Life Events" (divorce, widowhood, job loss)
2024 — 4 projects
Student Host Company Data Source Topic
Fan Li Westpac Massey Fin-Ed Centre ANZ New Zealand Financial Wellbeing Survey 2021 "Mind Over Money — Kiwis Psychological Distress and Financial Wellbeing" (probit + Oaxaca decomposition; mental health × debt)
Justene Urry (continuing from 2020; final 2024) Massey University (in-house) HILDA + NZGSS (NZ General Social Survey) inferred from `NZ Version\` subfolder "Invisible Work, Visible Penalties — Cognitive Labour & Gender Inequality in Income" (motherhood penalty; AU/NZ comparative)
Syeda Saeeda ("Saeeda Syeda" in v1-v5) Massey University (in-house) HILDA (2002-2022 waves) explicit "Financial risk-taking and financial hardship — gender differences" (Oster test + Blinder-Oaxaca decomposition)
Val Meng (ID 24002205) FinCap (NZ) (inferred via MURF CV §B "Debt Dynamics in NZ … Principal end-user: FinCap"); secondary: Westpac Massey Fin-Ed Centre (folder name) NZ household-debt data (FinCap client data + likely RBNZ aggregate) "Debt Dynamics in New Zealand — Analyzing home loan affordability in different age range and the influence of third-tier lenders"
2025 — 4 projects
Student Host Company Data Source Topic
Mahnoor Muhammad Alam Butt (ID 25001584) — resolved v8 (PST), confirmed v9 (draft cover page) Massey University (in-house; Master of Business Analytics) — co-supervised with Dr Wei-Huei Hsu (Wendy) + Project Coordinator: Dr Adnan Balloch DEP-17 (17-Item NZ Deprivation Index) + NZ household hardship data + Markov chain transition matrices (intra- and inter-generational) "How Employment-Related Events Trigger Financial Hardship and Subsequent Hardship Pathways: A Markov Chain Transition Matrix Approach in Aotearoa New Zealand" (full title from v9 draft cover)
Linh Thuy Pho (ID 25014081) Massey University (in-house; co-supervised with Dr Mei Qiu) HILDA (longitudinal Australian data) "Dynamics of Financial Hardship — Entry, Recurrence, Duration, and Exit Evidence from Longitudinal Australian Data"
Ganesh Sahasranama Iyer Hariharan (ID 23003390) — resolves v6 "[ID 23003390 — unnamed]" AND v6 "Ganesh Iyer Hariharan NOT FOUND" Massey University (in-house) HILDA (residential relocation focus) "Deciphering the impact of relocation on residential satisfaction: a study based on HILDA survey data" ('Roots and Routes' per proposal)
Sam Till (PhD candidate; continuation from 2022 MAnalytics) Massey University (in-house PhD) Stats NZ IDI + GSS (NZ General Social Survey) + RBNZ + NZ Census + Working for Families administrative data PhD — "Financial and Social Sustainability of Individuals in Aotearoa New Zealand — Policy Reforms, Economic Shocks, and Household Resilience"

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