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kylevogel/README.md

Second-year student at the University of Virginia studying both Data Science and Economics. Interested in statistics, machine learning, and making data-driven decisions to understand problems. I enjoy employing code and thinking analytically to solve real-world challenges. I am eager to continue my academic and professional journey by gaining experience through internships, collaborative projects, and research.

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  1. cbb-ratings-pipeline cbb-ratings-pipeline Public

    End-to-end Python ETL pipeline that collects NCAA men's basketball rankings from multiple sources, standardizes team names, and deploys a live dashboard via GitHub Pages.

    Python 2 1

  2. DS2023_Kyle_Vogel DS2023_Kyle_Vogel Public

    NCAA D1 home-court advantage analysis (2023–24). Python EDA + 1-page infographic using game results and AP rankings.

    Jupyter Notebook