Sam M
- Research Program Mentor
Industry expert at Syracuse University
Expertise
Data analytics and exploration across the landscape of sports. Interests include NFL, NBA, MLB, PGA, and UFC! Secondary interests include strategic sport sponsorship and corporate partnerships, sports business, ticketing, sports marketing, music, and pop culture.
Bio
Hi everyone! My name is Sam Marteka and I graduated from Syracuse University in May 2021 with a Sport Analytics degree and minors in Strategic Management, Sport Management, and Sport Revenue Operations. I've worked at sports properties such as Kraft Analytics Group, Tampa Bay Buccaneers, Travelers Championship, Syracuse University Athletic Department, Orleans Firebirds, and Learfield. I have been involved in a variety of sport research projects and papers and have industry specific skills in Microsoft Office (Excel, PPT, Word), R, Python, Tableau, Web Scraping, Data Visualization, Data Cleaning/Wrangling, Blog/Social Media/Journalism writing, and more! I have also presented research at a few conferences with classmates and professors. I love to cook, watch/play sports, play video games, collect sports cards, and follow the stock and crypto markets.Project ideas
Sport Contract and Player Valuation
This project focuses on predicting sports contracts by leveraging data science and financial modeling techniques. Students will gather and clean data on player performance, historical contracts, and market conditions, applying statistical analysis and machine learning to build predictive models. The project involves feature engineering, model development, and evaluation, with the aim of understanding key variables that influence contract values. Outcomes include a research paper, predictive models, data visualization dashboards, and presentations, providing insights into the economic dynamics of sports contracts and equipping students with practical skills in data analysis and financial forecasting.
Analyzing Prime Time & Game of the Week Game Totals in the NFL
Exploring how run totals in NFL betting markets are set based on the time of game & national exposure. This project will teach you how to work on an analytical project from start to finish, using web scraping, data cleaning and wrangling, data visualization, and a variety of other skills using score data and betting data from a historical sample of NFL games.