Data Scientist · Software Developer

Matthew
Pezolt.

I build data systems, statistical models, and software — from raw collection through to the decision they inform.

LinkedIn ↗ GitHub ↗ Email →
Matthew Pezolt
Currently @ Notre Dame
Toolkit /
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Experience

  1. Director of Analytics University of Notre Dame Baseball 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
  2. Data Analytics Intern Tread Athletics 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
  3. Software Developer Epic Systems 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
  4. Student Director of Data and Analytics University of Virginia Baseball 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
  5. Data Systems Intern USA Baseball 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
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Education

M.S. Data Science
University of Notre Dame
College of Data Science
Aug 2025 — May 2027
  • Graduation: May 2027
  • 4.0 Program GPA
B.S. Computer Science
University of Virginia
School of Engineering and Applied Sciences
Aug 2020 — May 2023
  • Graduated with High Distinction
  • Member of Sports Business Society
  • Member of Data Science and Analytics Club
  • 3.67 Cumulative GPA
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Portfolio

Spin direction analysis chart from the dashboard
Featured Project

Baseball Performance Analysis Dashboard

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

GitHub ↗ Dashboard 1.0 ↗ Dashboard 2.0 ↗
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Contact

Let’s talk data, models, and what they can build.

mjpezolt@gmail.com →
LinkedIn ↗ GitHub ↗ Baseball Dashboard ↗