Academic and personal projects where I explore machine learning, finance, sports analytics, geospatial work, and analytical storytelling.
Each row highlights the project context, the tools used, and the main idea behind the work. Tap a tag below to filter.
Academic Project: 5 European Leagues
Built 100+ animated graphs displaying passing tendencies, key passes and assists, and position zones for every match in five major European leagues in 2018.
Academic Project: 47.35% return in 2021
Visualized feature importance, return distributions, and model comparisons for a machine learning stock-picking workflow that outperformed the S&P 500 by 21% in 2021.
Academic Project: S&P 500 Earnings
Applied Bayesian hierarchical models and SARIMA to forecast S&P 500 company earnings, exploring how prior information improves prediction intervals.
3D terrain rendering exploration
Explored rayshader's capabilities for 2D/3D data visualization in R, combining elevation data with raytracing, spherical texture mapping, and ambient occlusion to generate topographic maps.
Academic Project: S&P 500 sector comparison
Compared the top three companies across every S&P 500 sector before and after COVID-19, tracking market capitalization, trading volume, and price per share to see which companies and sectors thrived or fell after the pandemic.
More projects coming soon as I keep adding polished analyses and experiments.