I am studying Data Science and Statistics at Northwestern University. My current focus is on applied data analytics and building data visualizations, with a long-term goal of mastering deep learning methods.
I am particularly interested in Sports Analytics and Financial Analysis, using statistical modeling and programming tools developed through coursework and independent projects.
Interactive R Shiny application for exploring Steam player counts and trends across games and time.
Exploratory and statistical analysis of Steam game data using Python, focusing on player trends and game characteristics.
My personal notes and projects while working through Hands-On Machine Learning with Scikit-Learn and PyTorch by Aurelien Geron.
Customizable local engine analysis of chess games with features to auto-import games from Lichess and Chess.com. Uses Lichess API to get Depth-40 analysis of opening positions as well as human win percentages for common positions. Runs as a webapp.
Skills: Python, R, SQL, HTML/CSS, Machine Learning, Data Visualization, LLMs & AI
Interests: Chess, Premier League, NBA, NFL, Traveling