Hi, I’m Beckett Sanderson! I'm a data scientist and recent summa cum laude graduate from Northeastern University with a B.S. in Data Science and Economics. Originally from Philadelphia, I’m passionate about applying data to complex challenges in sports, technology, and the environment, and especially love working with complex, constantly changing datasets to derive insights that can drive real-world impact.
Currently, I work as an Associate with HD Intelligence, a leading basketball analytics consulting firm serving NCAA and professional programs. In this role, I support 11 NCAA teams (including 5 high majors) by producing opponent scouting reports, game analyses, and strategic recommendations for 160+ games throughout the season, translating complex statistical outputs into clear, actionable insights for coaching staffs. I also conduct applied research projects, including most recently a Python-based analysis of scoring-run tendencies using ~60K events of international play-by-play data. This experience has strengthened my ability to communicate technical findings to non-technical stakeholders and reinforced my interest in analytics that directly influences real-world decision-making.
Prior to HDI, I built experience in machine learning, simulation modeling, and data storytelling through roles at Klaviyo, the MBTA, and Navigate. At Klaviyo, I retrained a production MLP model for abuse detection on over 30–40 billion monthly emails and developed a feedback loop that improved model performance by 2% at FPR <1%. I also built a cross-language monitoring pipeline deployed to production, complete with real-time dashboards and alerts.
At the MBTA, I worked full-time on the Data Strategy team, creating 80+ visualizations for the agency’s Tracker report, automating survey analysis pipelines using GitHub Actions, and analyzing ridership impacts from the Sumner Tunnel closure. I was later invited back to work on Rider Census automation in a part-time Strategic Research role.
Outside of those co-ops, I consulted as an Applied Sports Data Scientist with Navigate, where I created a customizable college football playoff simulator in Python using Elo ratings. The tool modeled 10,000+ seasons and helped visualize conference and team outcomes under various structural assumptions.
At Northeastern, I served as President of Club Basketball, leading the #1-ranked team in the country to multiple Nationals appearances. I’m also Deputy Editor at Red & Black, Northeastern’s student-run athletics magazine, where I’ve authored feature articles (which can be found in the Articles tab) and mentored younger writers.
Whether building models or writing stories, I enjoy turning messy information into something structured, accessible, and useful. You can check out more of my work in the Projects tab or on GitHub.