I am sophomore computer science and math student at the University Of Maryland: College Park! I love to run and fish in my free time outside of writing code of course :D. My favorite languages are Python and OCaml
Created, trained, and utilized two classification machine learning algorithms (KNN and Random Forest) to predict whether an NBA player will end up in the Hall of Fame following his career. On a blind dataset, the models achieved accuracies up to 98%. I also did a detailed write-up on the process and the steps I took in an .ipynb
A Spotify-based web-application garnering over 5000 users which generated unique wordclouds based on a users top-50 artists. The backend is Python Flask and the frontend is vanilla JS/HTML/CSS. The CSS was a combination of bootstrap and manual formatting
One of the first apps I personally did. I developed a webhook with a Python Flask app that would listen in on my Strava activities and run a Python script which appended a joke of the day onto my uploaded activities.