Summary
Nathan Miguens is a data leader with 8 years’ experience building AI-driven analytics and data platforms for high-performance sport, now heading the Sport Data Hub data team at INSEP to centralize and operationalize federations' administrative, results, and training data. Trained at Mines de Nancy and Polytechnique Montréal, he blends deep technical skills in data engineering and machine learning with practical projects such as an early automated video-analysis system for a football club that married AI with coaching pedagogy. He has led end-to-end initiatives from data warehouse construction to medal-potential estimation for Olympic cycles, enabling evidence-based decision-making across national sport bodies. Based in Paris, he combines scientific rigor (including academic collaborations and papers) with hands-on product delivery, making complex models usable for coaches and federations. An avid sports enthusiast, he focuses on translating research-grade methods into operational tools that measurably improve athlete performance.
7 years of coding experience
4 years of employment as a software developer
Computer Engineering, Computer Engineering at Ecole Nationale Supérieure des Mines de Nancy
CPGE, Maths - Physique, CPGE, Maths - Physique at Lycée Descartes
Echange académique (8 mois), Informatique, Echange académique (8 mois), Informatique at Polytechnique Montréal