Big Data Bowl - Identifying Difficult Passes with Deep Learning
Using a CNN to predict NFL completion percentages at the time of throw for a grad school deep learning project.
Hello! 👋
I'm a data scientist based in Chicago, currently pursuing my master's degree in applied data science @ UChicago. In the last year I have completed research for the Chicago White Sox to develop a better understanding of hitting biomechanics, and interned at the transportation consultancy RSG.
I spend a lot of time thinking about car dependency in the U.S. and how investments in active and public transport can improve our cities. I'm also a sports fanatic, and love applying my quantitative background to better understand sports at all levels.
A collection of publicly-available projects I've worked on can be found below. If you'd like to get in touch, please reach out on LinkedIn!
Quantifying the Loss of Rapid Transit on Chicago's South Side
Applying spatial data science methods to study the history of South Side public transit.
Fantasy Baseball Roto Draft Optimization
Using integer programming to select an optimal fantasy baseball roster.
MLB Umpire Discrimination Research
Award-winning undergraduate econometrics thesis on umpire discrimination.
1 of 1