I'm passionate about statistics applied to sports. My work focuses on using data to uncover insights and tell stories within the world of sports analytics.
- Building a comprehensive blog on applied sports statistics.
- Win Probability Model
- Ranking and rating methods for sports teams and players.
- Player Contribution: a method for allocating credit for a team’s performance to the individual contributors on a team.
- Advanced techniques in machine learning and data visualization.
- Expanding my knowledge of R and Python for statistical analysis.
- Rust 🦀
- Sports analytics projects that leverage data science and machine learning.
- Open-source initiatives in the sports statistics community.
- Finding innovative ways to communicate complex statistical ideas in sports to a broad audience.
- Anything related to sports statistics, data analysis, and R or Python.
- He/Him