My name is Tyler Janak, and I am a senior at Baldwin Wallace University, where I am majoring in Data Analytics and playing for the university’s baseball team. I have recently been interested in sports analytics, especially in baseball, and I set a goal to apply data to make more informed decisions, to facilitate player development, as well as to enhance the overall performance of the team. Leveraging both my firsthand experience as a player and my analytical skills, I bridge the gap between on-field performance and data-driven insights.
At the moment, I am looking for internships or full-time opportunities in sports analytics or in research and development, and data-driven roles in professional baseball or any other sectors that are using analytics for enhancing performance and strategy. My dream is to be part of baseball-related data-driven decision-making by working with front offices, the player development departments, or the research teams who analyze trends, predict outcomes, and optimize strategies.
A perfect internship would allow me to apply statistical analysis and data visualization using SQL, Python, and R programming to solve complex problems and generate meaningful insights. Whether it is working with player performance data, scouting reports, or advanced metrics, I am looking forward to adding value to a team that is at the forefront of innovation and analytics.
Studying data analytics has been insightful because it enabled me to grasp probability and statistics, SQL data systems, R programming, and Python. I have been able to utilize various projects to apply these skills to the data, having real-life situations as examples, such as the following:
2024 MLB Division Series Insights – Critical examination of the statistical lineup of the playoff teams and the classification of success factors of the teams were the main objectives (metrics).
Japanese Baseball to MLB Forecasting – An exploration into japanese baseball and modeling to predict which players that are playing in the NPB will come to the MLB
Bristol Blues Data Analytics Internship (2025) – Scouted opposing players and delivered data-driven reports to coaches, developed statistical and predictive models in R, and built an interactive Shiny dashboard, contributing to a 27–17 season record.
Outside of coursework, I attended the SABR Analytics Conference, where I engaged with industry professionals and gained deeper insights into baseball analytics. I can proudly say that I am experienced in R, Python, SQL, and Tableau, which gives me the ability to manipulate and visualize data clearly and effectively.
I am very excited about engaging with a professional sports organization to utilize my data analytics skills and thereby benefit a company that values data-driven decision-making. My target is to be involved in baseball operations, performance analysis, and player development, processes where data plays a major role in strategy, scouting, and player evaluations. The internship or job will give me the opportunity to work with real-world MLB data, which in turn will help me analyze complex datasets not only in theory but in practice as well.
I encourage you to read my resume and connect with me on LinkedIn.