Projects

The Importance of Grid Position on Race Classifications in F1 is a paper written for a coures on Bayesian Analysis. In this paper we explore how a drivers grid position affects their final outcome, and quantified the probability of earning a postition from a given grid box. Using PyMC we built multiple models to find relationships and patterns based on different factors, and explored the differences between various elements of racing and history.

A data exploration app for F1 data, allowing us to view telemetry, race results, and key insights about races. This is an ongoing project and will continue to be developed as both more data and more features become needed.

An app for creating and managing scouting reports for Baseball Teams. This app was built as a hiring exercise and features key components for scouting pitchers and position players alike, including standardized 20-80 rankings, form validation, and modern UI/UX design