This page contains research, projects, writings, reports, and other work I wish to share hoping to inspire others.
Currently taking a step back this summer. My focus is on hands-on learning through data science-adjacent work at United Airlines, along with fitness and travel. I'll be returning to personal projects this fall - stay tuned!
Go Hoosiers!
March 2026
An analysis of all 2,586 NCAA Men's Basketball Tournament games from 1985 - 2025, examining which final score digit combinations appear most frequently and why the board is less random than it appears. Structure under randomness.
December 2025
A supervised regression pipeline trained on just over 6,000 tabular listings to predict used-car sale prices. Workflow performs thorough cleaning and feature engineering on listing attributes, then trains feedforward neural networks using *TensorFlow* with regularization and learning-rate scheduling.
November 2025
A mini-project focused on capturing and analyzing my daily keystrokes across lecture notes, emails, and everyday use, transforming raw input into structured visualizations through a custom-built data pipeline to better understand how data is stored and used in early machine learning workflows.
