Turning
Sports Data
into Insight
I build machine learning models, statistical analyses, and data pipelines focused on sports performance and predictive analytics. Footy nuffy. Number cruncher.
Data nerd.
Sports obsessive.
I'm a data scientist based in Australia with a deep passion for sports analytics. I combine statistical modelling, machine learning, and domain expertise in Australian football to extract meaningful insights from complex datasets.
When I'm not training models or wrangling CSVs, I'm watching footy, debating team selection, and probably building a new predictive model for next weekend's games.
Experience & Education
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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.
Interested in working
together?
Open to data science roles, sports analytics collaborations, and interesting projects. Based in Australia.