The Intersection of Data Science and Athletic Performance

Document Type

Poster Presentation

Publication Date

4-25-2025

Keywords

fsc2025

Abstract

I developed a set of Python-based web platforms that transform raw force plate data into clear, actionable visualizations for Fisher’s athletic department. These tools allow coaches to easily monitor athletes’ performance metrics and make data driven training decisions. The primary audience for this project are athletics personnel and data scientists. I have presented this project at national conferences.

Comments

Student poster presented at the 2025 Fisher Showcase, St. John Fisher University, April 25, 2025.

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