Turning
Data into
Decisions
I build and productionise machine-learning models in the wagering industry — customer modelling, forecasting, and sports analytics — currently leading a team of four at PointsBet.
Data nerd.
Sports obsessive.
Senior Data Scientist with a mathematics background and four years' experience building and productionising machine-learning models in the wagering industry. I lead a team of four at PointsBet, owning a suite of 10+ production models across the Australian and Canadian businesses, with a focus on customer modelling, forecasting, and sports analytics.
Outside of work I build my own models for AFL and greyhound racing, and I'm generally the person overanalysing this weekend's footy.
Experience & Education
Featured Work
Machine learning model predicting AFL game outcomes using historical match data, player stats, and venue factors. 68%+ accuracy over multiple seasons.
Interactive R Shiny app exploring NBA player stats vs salaries. Includes salary distributions, performance metrics, and value analysis to find over and under-valued players.
Spatial analysis Shiny app mapping Melbourne's Fitzroy Gardens, combining geographic data with interactive visualisation of the park's features and flora.
Predictive model estimating greyhound starting prices, benchmarked against Betfair Starting Price and built on historical BSP data and the GRV Topaz API.
Interested in working
together?
Open to data science roles, sports analytics collaborations, and interesting projects. Based in Australia.