Resume

• Designed and implemented a SQL database and automated ETL pipelines to centralize athlete monitoring data and provide integration with dashboards and apps.
• Assist in data collection and processing for VALD, Catapult, 1080 Sprint, and Oura Rings.
• Developed algorithms for automatic run event detection using GPS data informed by academic research.
• Constructed tools to analyze Velocity Decrement in resistance training.

• Designed and implemented custom softball-specific load metrics using Catapult wearable data.
• Built interactive Shiny dashboards and automated daily/weekly reports.
• Led development of a 250+ page base running analysis using GPS/velocity.
• Aligned Trackman pitch timestamps with Catapult 100 Hz data to label pitch events for predictive modeling.

• Analyzed and presented post-match Wyscout reports, delivering actionable insights to coaching staff.
• Communicated data-driven recommendations for player performance optimization and tactical adjustments.
• Designed and conducted goalkeeper training sessions five times per week to enhance player development.

• Scraped match day shooting and expected goals data from various online sources.
• Integrated newly scraped data with existing datasets for advanced analytics.

• Built Random Forest, XGBoost, Support Vector Machine, and Neural Network models to analyze film properties.
• Conducted significance testing and feature selection to optimize model performance.

Honors: Dean's List, Provost Scholarship, Student Athletic Council Member

Coursework: Deep Learning, Machine Learning, Data Visualization, Distributed Computing, Applied Statistics, Database Design, Algorithms, Linear Algebra, Data Munging, Econometrics