Run Predictor
ML pipeline predicting 5K race times from 7,000+ historical races.
Compared Linear Regression and XGBoost against a Riegel baseline — XGBoost cut MAE by 17%.
View project →
I'm a second-year Computer Science student at Lancaster University. I work as a Teaching Assistant for Computer and Systems Architecture, and as a Quantitative Developer at the Ghosal Investment Fund.
Outside of school, I am passionate about all things data science, sport, and finance.
In my free time I enjoy mountaineering and trail running.
Native French and English, German (B1).
I'm looking for internships and opportunities in software engineering, data science, or quantitative development.
ML pipeline predicting 5K race times from 7,000+ historical races.
Compared Linear Regression and XGBoost against a Riegel baseline — XGBoost cut MAE by 17%.
View project →Route-planning app for any metro system using Dijkstra's algorithm and CSV station data, with shortest-time and fewest-line-change routing via a Swing interface.
View project →
