Contact Information
Email: mjpezolt@gmail.com
Email: mjpezolt@gmail.com
Dates: Aug 2025 - May 2027
Dates: Aug 2020 - May 2023
Graduated with High Distinction
Member of Sports Business Society
Member of Data Science and Analytics Club
Dates: Aug. 2025 - Present
Managing data collection, processing, and analysis efforts of the University of Notre Dame baseball program
Exploring ways to utilize leading technology in day-to-day development efforts. Such as utilizing computer vision for video analysis
Emphasizing clear and easily communicated results of analysis through development of advanced scouting and post-game reports
Continued experience in Python, R, and SQL
Dates: Nov. 2024 - May 2025
Enhanced internal analytical tools to better facilitate the comparison of collegiate to professional athletes
Developed statistical models to quantify player performance in cutting edge fields of baseball research/development
Working directly with development staff to provide data driven answers to new questions regarding athlete development
Professional Experience in R, continued experience in Python and SQL
Dates: 2023 - 2024
Software Developer on Epic's flagship application MyChart
Lead developer on data analysis project leveraging Epic’s de-identified database to drive better scheduling and referral workflows for patients and providers
Debugged existing code to maintain consistent and reliable usability of the software across application teams and organizations
Professional Experience in Python, SQL, JavaScript, TypeScript, M, HTML, and CSS
Dates: 2020 - 2023
Responsible for all data collection, processing, and analysis for the UVA Baseball Program
Developed internal analytical programs mirroring the function of popular 3rd party analytical tools, saving the program money
Worked directly with Coaching Staff to provide data-based information to in-game decisions
Managed the program’s Recruiting social media profiles. Oversaw a 75% increase in growth
Dates: 2022 - 2023
Responsible for the collection, cleaning, and reporting of data collected during talent identification events by USA Baseball
Developed a web-based database for performance analysis coded in Python: Link found in portfolio section below
Communicated directly with development staff to provide meaningful data for roster selection processes for various National Teams
Streamlined the post-season data aggregation and analysis processes
Owner and developer of In-Game Data Visualization and Analysis tool developed for USA Baseball National Team roster selection processes. The project was then expanded for use with the University of Virginia Baseball Program. Coded completely in python's dash framework using pandas and plotly for data processing and visualization. Version 2.0 currently in development. Github contains 2.0 source code. Both version examples linked below