With Master’s degrees in Analytics and Statistics & Operations Research from RMIT University, I bring over 15 years of quantitative analysis, predictive modeling, and machine learning expertise to sports analytics consulting. My academic research includes published work of an optimal AFL finals system using Markov simulation techniques, paired with specialised training in sports wagering mathematics, rating optimization, and designing prediction models. 

Across my career—including senior data science roles at the University of Melbourne and ASX-listed industry leaders like Tabcorp and Qantas Group (Jetstar)—I have built advanced statistical models, time-series forecasts, and cloud ML solutions that turn complex data into actionable advantage. Whether developing custom match simulation engines, optimizing team rating systems, or delivering performance insights, I combine rigorous statistical methods with practical experience to help clients win through data.