Projects

Three Strikes but Make Them Data Science Languages (R, Python, Julia)

Baseball

Nick Wan Hackathon

Kaggle Competition

This is the code notebook to go along with my submission for Nick Wan’s “Predict strikeouts with new MLB arm angle data” competition. It’s finals week here at UCLA, so I…

RLIFF: A Personal Package

R Package Development

I created RLIFF to practice developing R packages, and to provide me with some motivation whenever I open up R. It features three functions, all with special meaning to me.…

Predicting Future Playing Time

Baseball

Reds Hackathon

Kaggle Competition

In this Hackathon, I developed two ML models to predict future playing for pitchers and hitters from past statistics. I then used permutation based variable importance to…

Defending The Go-Gos: Predicting Slot WR Routes

Football

Big Data Bowl

Paper

Defending The Go-Gos is a paper on predicting slot receiver routes against man coverage using pre-snap indicators. Slot receivers are difficult to defend in part due to…

Representing Football: Advocacy for the Whole NFL

Football

Competition

Paper

In the 2024 NFLPA Analytics Case Competition, we seek to devise a technical way to differentiate tiers of player contracts, describe and analyze the “middle class” of NFL…

Digging Deeper: Volleyball Metrics with Full-Court Coverage

Volleyball

Conference

Poster

Current volleyball statistics often fail to capture the nuanced performance of players since they are limited to binary outputs of success or failure, similar to stats like…

Swarm Score: Quantifying Rallying to the Football

Football

Big Data Bowl

Paper

Swarm Score is a quantitative assessment of the age-old football maxim of rallying to the football and swarming the ball carrier. The statistic is formed by comparing each…