In the third episode of the Sport Analytics Podcast, our host Amrit Vignesh sits down with Neil Pierre-Louis, a Software Engineer for Baseball Systems at the Boston Red Sox. Neil takes us on a fascinating ride—starting as an Environmental Science major, interning at Google, leading analytics projects for UNC Baseball, and now contributing to an MLB front office. Neil explains how he built a robust foundation in SQL and software development, created hockey analytics tools like expected goals models, and collaborated with coaches to turn raw data into strategic insights. He also offers candid advice on building a standout portfolio, navigating cross-departmental projects, and knowing when (and how) to showcase your work. Whether you’re already in the sports analytics space or just exploring your passion for data-driven insights, you won’t want to miss this deep dive into the intersection of tech and baseball. Key Takeaways: Balancing passion projects in hockey analytics with a fast-paced MLB role Bridging Google’s large-scale processes with a startup-like environment in sports Building front-end solutions and managing tight deadlines in baseball research and development The pivotal role of SQL in handling massive sports datasets Tips for communicating complex models to non-technical stakeholders 🔔 Subscribe to our channel for more episodes featuring leaders in sports analytics, career advice, and technical breakdowns!
📧 For inquiries or collaborations, contact Dave Yount at dave@sportanalytics.com. 🎵 Music Credit: Intro and outro music for this episode is “Nomu” by Good Kid. #SportsAnalytics #BaseballAnalytics #BostonRedSox #SQL #HockeyAnalytics #SoftwareEngineering #DataEngineering #CareerAdvice #CollegeBaseballAnalytics
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