Ethan Chen

Bachelor's

Applied Mathematics

Stony Brook University

Data Research Intern

- Conducted in-depth examinations of machine learning and OpenAI technologies across various fields to assess their applications and impact - Assisted faculty with in-depth data research to present research findings and discuss potential - Compiled detailed research notes and summaries analyzing growth patterns and profitability metrics of leading companies to understand industry trends - Spotify Music Recommendation - Engineered a music recommendation app leveraging the Spotify API ԻSpotipy) to enhance user music - Processed playlists containing over 10,000 songs by extracting and analyzing audio features (e.g., tempo, energy, key) to understand user preferences and patterns - Designed and implemented a recommendation algorithm that achieved a 78% accuracy in predicting - Automated the creation of custom playlists, resulting in a 53% increase in playlist engagement - Personalized Nutrition Analysis - Developed a web application using Python and Django to analyze user dietary data, generating - Integrated MySQL database for rapid querying and scalable data management - Season Simulation & Performance Analytics - Developed a custom predictive model using Python to simulate MLB game outcomes, achieving a - 82% accuracy rate for individual game predictions and correctly forecasting playoffs teams with 85 - Maintained a low average difference of 5.3 wins between predicted and actual outcomes - Processed and cleaned data from over 200,000 points from each season, including historical and current statistics and rankings