Chicago, Illinois, United States
Sport Analytics graduate from Syracuse University with a Business minor. Excellent communication and time management skills, and a working background in baseball, American football, basketball, and the betting industry. Has experience utilizing advanced statistical tools to provide strategic insights and comprehensive analysis. A proven ability to work effectively in fast-paced environments, both independently and as part of a team, and looking to work in sport management or analytics.
• Scored and scouted 100+ goalkeepers among four different leagues using a Python scoring in a solo environment, communicating effectively through meetings • Co-developed an interactive RShiny application to deliver insights on "Player GRIT" to coaching staff and analysts. • Designed and implemented a custom “GRIT” player metric to evaluate work rate and effort contributions beyond traditional statistics. • Produced pregame and postgame scouting reports with visualizations to support tactical preparation.
• Led opponent scouting efforts for the Tri-City ValleyCats, focusing on batter tendencies and weaknesses using Trackman data. • Built R Markdown reports analyzing catcher framing and pitch sequencing for both Tri-City and opponents. • Created data pipelines and custom visualizations in R using ggplot2 and the tidyverse for game-by-game analysis. • Developed reusable code adopted by the analytics team for season-long internal player reports; also supported data storytelling in Power BI.
• Evaluated public vs. sharp betting splits to highlight market inefficiencies and inform betting recommendations for NFL and College Football • Created weekly consumer-facing cheat sheets consolidating stats, betting trends, and player news from beat writers into accessible formats for bettors • Assisted in transforming raw betting data into actionable content to improve engagement and decision-making for clients
• Data scraped several sites for NBA playoffs research to find betting trends based on player and team statistics • Provided written reports and "cheat sheets", utilizing visualizations to make information easily digestible • Working with a small team of six, leading a smaller team with one other person to find the best systems
• Produced and cleaned reports using advanced Excel spreadsheet functions. • Implemented data visualization tools to effectively communicate business insights. • Utilized Pabbly to clean and organize ticketing data in Excel, ensuring accuracy and efficiency in ticketing operations.
• Developed and optimized a detailed game-day operations manual, standardizing procedures to enhance efficiency. • Collaborated with concessions staff, addressing customer needs and resolving issues promptly during peak hours. • Assisted in operational logistics for game-day events, contributing to a seamless and engaging fan experience.