Sergio Pérez is a data scientist and software engineer with 11 years of experience building ML and probabilistic models for sports analytics, particularly football and American football. He has led Sports Analytics at FC Barcelona and helped develop scouting and performance platforms used by NFL, NCAA and multiple soccer clients, bridging research-grade tracking-data models with production-ready decision tools. Comfortable across the stack, he has delivered visualization-rich web applications and real-time data pipelines at organizations from CERN to Accenture and academic projects, combining statistical rigor with practical deployment. Based in Barcelona, he frequently applies his domain passion for football and music to craft interpretable analytics that inform scouts, coaches, and performance staff. Notably, his work emphasizes probabilistic player evaluation—turning high-frequency tracking data into actionable insights for elite teams.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Software Engineering, Average: 9,31, Bachelor's degree, Software Engineering, Average: 9,31 at Universidad de Oviedo
Master in Innovation and Research in Informatics, Data Science, Master in Innovation and Research in Informatics, Data Science at Polytechnic University of Catalonia
Contributions:5 commits, 7 pushes, 1 branch in 1 month
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