๐ I'm a third-year student at the University of WisconsinโMadison studying Data Science and Economics, with a certificate in Business and a strong interest in predictive metrics in sports.
๐ I love exploring how past data provides insight into performance, strategy, and decision-making in sports. I'm passionate about applying analysis to real-world problems across different leagues and levels of competition.
โฝ๐๐โพ I'm especially interested in:
- Team performance metrics
- Salary cap & roster optimization
- Game strategy and play-by-play data
๐ ๏ธ Languages I primarily use:
- R (dplyr, ggplot2)
- Python (pandas)
๐ What you'll find here:
This GitHub is for my personal projects and experiments in sports analytics. I'll be posting deep dives into team data, statistical modeling projects, and explorations of data-driven sports insights.
๐ Key Projects
- Fantasy Efficacy Score (https://github.com/jcorritone/Fantasy-Efficacy-Score)
- The Big (What-If) Dance (https://github.com/jcorritone/The-Big-What-If-Dance)
๐ Let's connect:
- LinkedIn: [www.linkedin.com/in/joseph-corritone]
- Email: [jcorritone@gmail.com]