AI · DATA SCIENCE · STRATEGY CONSULTING
I sit at the intersection of
technical depth and strategic clarity.
TECHNICAL DEPTH
I build models. AI, causal, predictive.
STRATEGY CONSULTING
I advise executives on AI adoption and strategy.
END-TO-END DELIVERY
I take projects from ambiguity to delivery.
TECHNICAL DEPTH
I build models. AI, causal, predictive.
STRATEGY CONSULTING
I advise executives on AI adoption and strategy.
END-TO-END DELIVERY
I take projects from ambiguity to delivery.
ABOUT
Most people who understand a RAG pipeline can't explain its strategic implications to a CEO. I can do both.
Six years across strategy consulting and applied data science, leading teams and managing clients including Microsoft, Google, Instacart, and Uber — building the technical work and presenting the findings, end to end.
We're at an unusual moment — AI is moving faster than most organisations can make sense of it. The gap between what the technology can do and what decision-makers understand is wide, and widening. I've never fit neatly into either the technical or the strategic box, which turns out to be useful right now.
- CURRENTLY
- Data Science Manager, Mandala Partners
- PREVIOUSLY
- Accenture Strategy / AlphaBeta
- EDUCATION
- Australian National University · Bachelor of Advanced Computing (Honours)
- BASED
- Sydney, Australia
EXPERIENCE
Mandala Partners
Data Science Manager
June 2024 – Present
Jobs & Skills Australia: architected RAG pipelines and LLM workflows in Python to categorise 40,000+ unique skills from longitudinal LinkedIn data — insights shaped national workforce policy.
Microsoft “Australia’s AI Economy”: co-created a strategic framework identifying high-value positions in the AI technology stack, delivering a narrative that validated Microsoft’s regional investment priorities at executive level.
Established firm-wide AI standards: trained 40+ staff on prompt engineering and LLM workflows, and built quality assurance frameworks for AI-assisted delivery.
Accenture Strategy
Strategy Manager
Sep 2019 – May 2024
AlphaBeta Australia was acquired by Accenture in 2021
Built a Python model to predict worker lifetime value (LTV) in a two-sided marketplace — subsequently productionised by the client's engineering team.
Developed a causal inference model estimating the financial impact of worker supply interventions; findings presented to the executive team and directly informed incentive strategy.
Analysed 17M+ Uber restaurant and delivery transactions to measure the economic impact of food delivery on the restaurant industry; findings delivered to executives and released as a public report.
WORK
THE WORK
Built RAG pipelines and LLM workflows in Python to process ASX 200 annual reports and categorise 40,000+ unique skills from longitudinal LinkedIn data.
THE IMPACT
Delivered quantitative insights on AI adoption patterns that shaped national workforce policy.
THE WORK
Co-created a framework identifying high-value positions in the AI technology stack for the Australian market.
THE IMPACT
Delivered a strategic narrative that validated Microsoft's regional investment priorities at executive level.
THE WORK
Built a Python model to predict worker lifetime value (LTV) in a two-sided marketplace.
THE IMPACT
Model was subsequently productionised by the client's engineering team and integrated into their retention strategy.
SKILLS
BUILD
I build models — predictive, econometric, and AI.
ANALYSE
I extract insight from complex, messy data.
COMMUNICATE
I make technical findings land with executive audiences.