About Yann
- Creation of interactive dashboards (KPI monitoring, performance, strategy)
- Development of predictive models (supervised/unsupervised machine learning)
- Data cleaning, structuring, and pipeline automation
- Exploratory analysis, clear reports, and scientific dissemination
- Strategic advice on data valorization and decision-making
- Dual scientific & technical expertise: I design both algorithms and visual analysis tools.
- Extensive experience in public and private sectors, institutional and sports organizations.
- Ability to simplify complex results for non-technical decision-makers.
- Autonomy, rigor, and teamwork skills.
- Real-time monitoring of funding campaigns (AFD)
- Customer behavior analysis and segmentation (INSEP, ITC)
- Modeling global trade indicators (United Nations)
- Data-driven performance studies (FFN / FFB)
- Genomic health analyses (Becton & Dickinson)
French
Native or bilingual
English
Fluent
Spanish
Basic
Experience
- Agence Française de Développement ParisData AnalystBANKING AND INSURANCEJanuary 2024 - Today (2 years and 7 months)Paris, FranceDevelopment and consolidation of financial analysis tools.
- Development of RShiny analysis tools
- Collaboration with the development team to automate data analysis processes, reducing processing time
- Creation of a performance indicator dashboard to monitor funding campaign results in real-time and make data-driven strategic decisions
- Data framing
- Daily data architecture and consolidation
- Institut de recherche biomédicale et d'épidémiologie du sport (INSEP)Data Scientist / ResearcherRESEARCHMarch 2019 - December 2023 (4 years and 9 months)Paris, FranceUsing Python and R to clean and process large datasets for the analysis of Olympian and Paralympian performance.
- Collaborating with federal teams to identify key challenges and provide data-driven solutions.
- Developing predictive models for athlete performance
- Implementing machine learning algorithms to improve performance.
- Application developed for data visualization
- Development of a machine learning model (supervised and unsupervised learning)
- Publication of a scientific paper on the results of a data-driven analysis
- Fédération Française de Natation & Fédération Française de Boxe MarseilleData scientist / ResearcherSPORTSJuly 2022 - March 2023 (8 months)Paris, FranceResearch work on performance analysis and geopolitical impacts.
- Creation of an interactive dashboard to visualize analysis results
- Collaboration with an interdisciplinary team to conduct research on the geopolitical impact of data
- Publication of a scientific paper on the results of a data-driven political analysis
- Optimization of data processing algorithms to improve the efficiency and accuracy of analyses
- Development of a predictive model to analyze athlete performance
- Participation in the design and implementation of a Big Data infrastructure for processing and analyzing large amounts of data.
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Education
- Master in Statistics and Data ScienceUniversité Grenoble Alpes Grenoble2019Master Statistique et Sciences des Données
- Bachelor's degree in EconomicsUniversité Grenoble Alpes Grenoble2017Licence Economie