Projects
nflverse#
Contributor to the open-source NFL data package family nflverse
. Found obscure API endpoints and built scripts to hit these endpoints, download and clean the sourced data, and then make the data available via the {nflreadr}
package. You can view the nflverse
family of packages here
.
Predicting Scrabble Point Values#
Finished 1st overall in a Kaggle community competition to predict the point value of the 20th turn of a Scrabble game given only the 19 previous turns. Relied on a neural network to model Scrabble turns, then adjusted point values using a mixed model to account for individual player skill. You can view my writeup of the project here .
Kaggle 2021 March Mania Contest#
Finished 27th overall in Kaggle’s 2021 March Mania contest relying on a variety of team-strength metrics, domain knowledge, and other features to predict performance in the 2021 Men’s Basketball National Championship. You can view my code for this project here .
Big Data Bowl 2020#
Worked with a team to evaluate the pass-defense of individual players using NFL tracking data, creating an R package to estimate and evaluate defensive skills of specific NFL players. Our writeup for the project can be viewed here , our code can be viewed here , and a Shiny app to visualize our results can be viewed here .
NERD Score Twitter Bot#
Put together a Twitter bot to produce daily NERD score values for pitchers and games (NERD estimates the entertainment factor for a given game or pitcher). The bot is previewed on FanGraphs here and the code can be found here , though the bot is no longer maintained or updated.