Freelancer profile translated to English.
Back to original languageAbout Pierre
Research engineer specializing in the management and processing of large amounts of data. I design and optimize data pipelines to make complex data streams understandable through dashboards tailored to end-user needs. With 4 years of experience within the PERFANALYTICS project, I have held the roles of Full Stack Developer, Lead Engineer, and Data Engineer to analyze sports performance at an international level in collaboration with coaches and researchers.
My core skills include:
- Pipeline design (Python, Apache Airflow, Docker) for ingesting and processing performance data and videos.
- NoSQL/SQL database management (MongoDB, SQL Server) and query optimization.
- Development of ETL and analysis tools (ReactJS, interactive dashboards with Dash Plotly in Python)
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- INRIAResearch EngineerOctober 2021 - Today (4 years and 8 months)Montpellier, FranceThe Perfanalytics project is a French research project linked to INSEP, aiming to support French sports federations in their pursuit of excellence at the highest level. I am currently working there as a Full Stack Engineer and Lead Engineer to develop, maintain, and sustain pipelines and dashboards that supported the various federations during the 2024 Olympic Games.I have developed tools for sports performance analysis from video (manual and automatic annotations), provided data ingestion pipelines for official results and videos to facilitate processing, and created dashboards developed with coaches to provide them with precise feedback that meets their needs.Finally, these tools have been industrialized and are integrated into INSEP's Sport Data Hub (SDH) to maintain their availability and maintainability after the project's end.
- Motion-upIntern in Engineering and Research Development / Research Engineer InternFebruary 2021 - July 2021 (5 months)Vannes, FranceMotion-up is a small company focused on motion capture and its various applications. During my internship at this company, I worked on a markerless motion capture project using various smartphone videos in a sports context. The objective was to develop a tool capable of determining the 3D movement of players on a sports field - volleyball in my case.
- CAPGEMINIIntern EngineerJune 2019 - August 2019 (2 months)Paris, FranceInternship in the innovation laboratory. First hands-on experience with machine learning tools in the context of organizing an intelligent car race.
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Education
- Engineering Degree, Computer ScienceENSSAT - National School of Applied Sciences and Technology2021Diplôme d'ingénieur, Informatique
- Preparatory classes for higher education schools (CPGE), Physics and Engineering SciencesLycée Jean-Baptiste Say2018Classes préparatoires aux grandes écoles (CPGE), Physique et Sciences de l'ingénieur