SAS Innovate 2026
Grapevine, TX, USA
SAS Global Educator Award — Asia-Pacific (recipient)
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.
The Mission
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
Industry Signals
“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
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.
Vision
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.
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.
Educational Gaming
An introduction to the AutoMatrixLab educational gaming portfolio — AAA-rated games built in Unreal Engine 5 and Fortnite UEFN.
Platform Demos
Live demonstrations of the AutoMatrixLab education platform — courses, AI tutoring, admin tools, and infrastructure.
Real World Applications
Live demonstrations of the ML pipeline builder, fraud detection system, and interactive course features.
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.
Courses
15 courses across 8 industry domains.
Fraud detection, credit risk, portfolio optimisation, customer churn, credit default
Lead scoring, campaign attribution, customer segmentation
Readmission prediction, diagnostics, length of stay, drug response
Attrition prediction, performance forecasting, sentiment analysis
Churn prediction, demand forecasting, pricing optimisation, recommendations
Demand forecasting, supplier risk, logistics optimisation
Predictive maintenance, quality control, OEE & energy optimisation
Property valuation, rental yield prediction, market analysis
Panel data methods using SAS, statistical analysis, data mining techniques
100+ AI and automation applications built end-to-end. Click any card for full details, tech stack, and demo video.
81 AI Courses & Projects
Technical Expertise
Self-hosted large language models with zero cloud dependencies
Unreal Engine 5 games for PC, Xbox, PlayStation, Switch
Speech-to-text (Whisper) and text-to-speech (XTTS) systems
Applications supporting 17+ languages with real-time translation
Research as Sound & Story
Research findings transformed into AI-generated songs and emotional narratives.
Sole Parent Financial Wellbeing research converted into an AI-generated song — “Set Fire to the Pain” — where lyrics directly reference research results.
93–96% of hardship damage is psychological, not financial. Every lyric is a real coefficient. Every verse maps to actual model output.
The production platform that turns research datasets into narrated songs and short films at scale.
Real Results
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.
Advanced analytics platforms built by supervised students using real-world data. Each project demonstrates end-to-end research automation.
437,006 observations across 21 years of HILDA data. Automated survival analysis, transition matrices, competing risks, and AI-generated research draft sections.
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.
Fisheries analysis dashboard with machine learning models and AI commentary for automated interpretation of results.
Seven-tab property valuation system including geographic visualisation and comparable sales analysis. Linear, Ridge, Lasso, Random Forest, XGBoost, LightGBM, CatBoost, and Stacked Ensemble models.
Supervised Research Portfolio
Supervised across Master of Analytics, Master of Finance, PhD, and industry internship programmes.
Drivers of Household Debt During COVID-19. Te Ara Ahunga Ora Retirement Commission Barometer data + Westpac economic bulletin.
Occupation Classification and COVID-19 Impact on Financial Wellbeing. Te Ara Ahunga Ora Retirement Commission Barometer data.
Sorted Website User Behaviour Analysis. Retirement Commission / Sorted proprietary data.
Sole Parenting and Financial Wellbeing of New Zealanders. Retirement Commission data. Now PhD.
Kiwis and Retirement Planning. ANZ Financial Wellbeing Survey (NZ) + Retirement Commission data.
Financial Parenting and Emergency Saving. ANZ 2021 Financial Wellbeing Survey.
Financial Wellbeing of Women. HILDA data with ANZ survey benchmarking.
Financial Wellbeing research. ANZ 2021 NZ General Population survey. Multiple projects.
Gender Differences in Financial Risk-Taking. HILDA + ANZ Financial Wellbeing Survey data.
Debt Dynamics in NZ. FinCap Client Voices — 155,482 records. Third-tier lender analysis.
Financial Hardship Dynamics — 437K observations, AI-automated research platform.
PhD research — General Social Survey data. Progressed from MBS to doctoral programme.
US Panel Study of Income Dynamics (PSID) econometric analysis.
ML models for predicting financial hardship. Decision trees on HILDA panel data.
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.
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.
Industry & Government Research
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.
Commissioned by Ministry of Health NZ. Analysed FinCap Client Voices data to identify gambling-harm trends and guide prevention policies.
Compared crisis-response effectiveness between government and community support in NZ and Australia. Provided policy recommendations.
Used proprietary Retirement Commission data to identify financial hardship factors and recommend targeted interventions for single parents.
Investigated teleworking impact on wellbeing and income stability of NZ labour force using Retirement Commission datasets.
Explored engagement patterns among frequent and infrequent Sorted website visitors to enhance NZ financial-literacy initiatives.
2026 (in progress) · NZ Fin-Ed Centre. Cultural Perception and Financial Wellbeing surveys (preliminary analysis through Massey Westpac Fin-Ed Centre).
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.
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.
Analysed FinCap client data to assess debt distribution and home-loan affordability trends. Informed responsible-lending strategies.
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 on Māori enterprise financial capability. Carried out analysis on Financial Health Check and Cultural Perception surveys.
2018 · Westpac Massey Fin-Ed Centre + Te Au Rangahau. Financial capability of Māori entrepreneurs and enterprise viability across Auckland and Northland.
Applied advanced segmentation models to NZAA customer data. Identified strategies to improve loyalty and retention.
Analysed proprietary traffic data to evaluate user engagement and improve marketing and public-awareness strategies.
Analysed proprietary Massey data across 20+ admission criteria investigating factors influencing student completion and retention.
Used Eftpos data to generate customer-segmentation insights supporting targeted outreach.
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.
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.
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%.
Review of Finance
Distinct channels of stock market literacy and trust in stock ownership decisions. Literacy matters more than sociability.
Durham University Business School
Doctoral research on household financial decision-making, psychological distress, and financial literacy. Best Thesis Award at Summer Congregation 2015.
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 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.
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.
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.
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.
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.
Recognition
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.
Durham University Business School — 2015
Summer Congregation 2015. PhD in Accounting & Finance. Distinction in all coursework.
Commonwealth Scholarship Commission, UK — 2010
Full doctoral scholarship for studies at Durham University (2010–2014). One of the most competitive scholarships in the world.
Durham University — 2011 & 2012
Awarded twice for exceptional contribution to university community life.
Durham University — 2012
Durham University — 2012
Massey University — 2018–Present
Consistently excellent course evaluations across all three campuses (Auckland, Wellington, PSB Singapore).
Institute of Business Management — 2006–2008
CGPA 3.68/4.0. Second in graduating class.
NED University of Engineering & Technology — 2001–2004
CGPA 3.55/4.0. Industrial Electronics.
Advance HE, UK — 2015
Credential ID: PR055577
Durham University — 2014
Durham University — 2013–2014
Elected president. Previously served as International Students Officer (2011–2013).
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.
Career
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.
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.
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.
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.
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.
Durham University Business School, UK | Jan 2011 – Mar 2013
Taught seminars in Advanced Microeconomics and Economic Principles modules. Assisted postgraduate students in dissertation work.
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.
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.
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 Impact
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.
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.
Assisted several organisations including Silicon Valley based startups with local and overseas artificial intelligence and analytics projects through global joint venture collaborations.
Completed several commissioned and noncommissioned analytics and research projects for Massey University Fin-Ed Centre, earning significant revenue for the school and the Centre.
Qualifications
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.
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.
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.
Academic Output
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.
Research Programme
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.
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.
Psychological Distress and Household Net Worth
Online IDs: DOI · SSRN 3521323 · RG 362161202
Financial Literacy, Trust, and Stock Market Participation
Online IDs: DOI · SSRN 2392747 · RG 264786037
Economic Shock, Hardship Landing, and Intra-Household Financial Anxiety Contagion
Panel Data Methods for Social and Economic Policy
PhD Thesis — Durham University Business School (2015)
Doctoral thesis comprising empirical essays in household finance. Applies modern panel-econometric techniques to large household panel datasets to investigate financial decision-making, wealth accumulation, stock market participation, trust, and the behavioural determinants of household financial outcomes.
Funder: Durham University Business School (doctoral funding) · etheses.dur.ac.uk (search "Adnan Balloch")
Project Report — commissioned by NZ Ministry of Health through Massey Westpac Fin-Ed Centre (2020)
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)
Twenty working papers and supervised projects across the four research lines, with status badges marking publication-readiness.
Telework and Sole-Parent Financial Wellbeing
Self-Efficacy, Wealth Formation, and Household Resilience
Locus of Control and the Persistence of Financial Hardship
Telework, Lockdowns, and Anxiety Across 151 Countries
Family Financial Socialization and the Making of Capability
Financial Parenting, Capability, and Adult Wellbeing
Empirical Evidence from New Zealand's Labour Force during COVID-19
Learning Disability, Financial Hardship, and Recovery Dynamics
Work-Family Attitudes, Sole Parenthood, and Hardship
Financial Decision-Making, Relationship Strain, and Separation Risk
Women's Financial Capability and Recovery After Life Events
Gender, Financial Risk-Taking, and Hardship Recovery
Third-Tier Lending, Housing Stress, and Financial Vulnerability
Social Engagement, Welfare Regimes, and Financial Vulnerability
Disability, Debt Management, and Retirement Preparedness
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.
Why Model Choice Matters in Targeting Australian Financial Hardship
Latent Classes in HILDA's 7-item Module C2 and What They Predict for Subsequent Recovery
How Where You Move From Shapes What Happens to You — A Multi-Shock Analysis from HILDA
A Competing-Risks Mediation Analysis from HILDA
Four mutually-reinforcing umbrella narratives connecting the 25-output portfolio (4 in preparation).
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 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.
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.
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.
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.
6 academic conferences, policy presentations, and recognised awards.
Grapevine, TX, USA
SAS Global Educator Award — Asia-Pacific (recipient)
→ View related paper (PUB4)
New York, USA
Balloch, A.; Engels, C.; Philip, D.
→ View related paper (PUB1)Auckland, New Zealand
Manchester, UK
Balloch, A.; Philip, D.; Nicolae, A.
→ View related paper (PUB2)Durham, UK
→ View related paper (PUB2)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.
Client: Te Ara Ahunga Ora Retirement Commission (formerly CFFC)
6 student MAnalytics applied-analytics reports + Adnan-led Insights Bites publication
Client: Te Ara Ahunga Ora Retirement Commission — Insights Bites series
Published Insights Bites article
Client: Te Ara Ahunga Ora Retirement Commission
Master of Analytics report → working paper → PhD chapter
Client: Te Ara Ahunga Ora Retirement Commission (multi-project bundle)
Documentation deliverables for Retirement Commission
Client: Ministry of Health NZ (data: FinCap Client Voices)
Recommendations report to MoH; multi-year programme
Client: FinCap (data: FinCap caseload data + RBNZ + Stats NZ)
Working paper + supervised Val Meng 2024 MAnalytics report
Client: Westpac Massey Fin-Ed Centre (data: ANZ Financial Wellbeing Survey NZ)
Multi-paper programme (P7, P13, P14) + multiple supervised student feeder projects
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.)
Client: Stats NZ — Integrated Data Infrastructure (IDI)
PhD; published policy briefs feeding NZ Treasury / RBNZ / Productivity Commission
Client: Contact Energy Limited (NZX-listed gentailer)
Student capstone report (Massey-internal)
Client: HILDA — Australian Govt Department of Social Services (DSS) / Melbourne Institute
Multi-paper programme + 6+ supervised student feeders
Client: SHARE multi-country European panel
Master of Analytics report → working paper
Client: NZ Ministry of Transport (MoT) / NZ Transport Agency (NZTA / Waka Kotahi)
Master of Analytics report
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).
| 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) |
| 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" |
| 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" |
| 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) |
| 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" |
| 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" |