Data Science Intern
Current- Developed models to determine optimal pitch sequences for pitchers in the MLB by leveraging clustering techniques, Recurrent Neural Networks (RNNs), and game theory principles.- Designed and implemented a web-scraping tool using Selenium to extract player salary and contract data across multiple soccer leagues and seasons, automating data collection for.