Resume

Education

Massachusetts Institute of Technology, Bachelors of Science in Mathematics - June 2019

Coursework: Probability and Random Variables, Computational Statistics, Elements of Software Construction, Introduction to Algorithms, Machine Learning, Principles of Discrete Mathematics, Communicating with Data


Work Experience

Philadelphia Phillies

Machine Learning Engineer, Baseball R&D - March 2021 - Present

Quantitative Analyst, Baseball R&D - July 2019 - March 2021

  • Introduced a formalized experiment tracking system for the entire R&D department

  • Designed best practices and infrastructure for model registry and version management

  • Developed new statistics for player performance evaluation with machine learning models

  • Recommended in-game tactics through predictive modeling

  • Developed in-house tools to improve scout’s access to video information

Software Engineer Intern, Baseball R&D - May - September 2017

  • Compiled player evaluations and summaries for trades and draft

  • Improved employee access and understanding of databases through a React application that visualizes data structure and contents

Second Spectrum

Software Engineer Intern, Soccer Sports Performance - June - August 2018.

  • Designed new semantic markings within an active-learning framework

  • Implemented feature requests from independent research to production

  • Introduced new modeling techniques to improve team operations

Boston Bruins

Hockey Analytics Intern - January - June 2018.

  • Improved department’s understanding of statistics by conducting reliability studies

  • Automated pre-game reports through identification of key metrics from multiple data sources

  • Examined player projection and value evaluation through statistical models

Basis Technologies

Software Engineer Intern - June - August 2016

  • Refactored and maintained API bindings in 7 languages, including C#, Java, Python

  • Improved user access to the Rosette API through extensions for Google Docs, Excel, and RapidMiner


Skills

software development

Languages: Python, JavaScript + TypeScript, SQL, Java

Frameworks and Tools: React, Travis, test-driven development

Data Science

Languages: Python, R, SQL

Skills: Data visualization, supervised and unsupervised machine learning, descriptive and predictive modeling