About Arnaud
Mon parcours international (Hong Kong, Boston) m'a permis de développer une vision globale des besoins en data science. et de comprendre la pertinence d'une analyse accessible, d'une conception robuste et d'un suivi régulier avec les différentes parties prenantes.
J'ai travaillé en tant que data scientist pour le Ministère des armées, Safran, Veolia, la Direction générale de l'armement et le département Health, Science and Technology Mit-Harvard en médecine computationnelle (Épidémiologie) .
Ce sont ces apprentissages, et ma passion pour la compréhension des sciences qui m'ont permis d'être gagnant/finaliste avec mon équipe lors de 4 hackathons européens (Symbioticon, Microsoft Azure, Université Paris-Dauphine, Université Paris-Saclay) et de profiter d'opportunités professionnelles sur différents continents. Je fais partie de l'organisation de datathons (hackathons en data science) en Colombie, Chine, Chili, Japon et Norvège.
Je suis sensible aux sujets environnementaux et de santé.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Massachusetts Institute of TechnologyVisiting StudentMEDICALMarch 2022 - Today (4 years and 2 months)Cambridge, MA, USALaboratory for Computational Physiology (LCP), Harvard-MIT Health Sciences and Technology
- VeoliaData Scientist at Special Projects TeamENVIRONMENTALSeptember 2021 - February 2022 (5 months)Hong KongApply Machine Learning to optimize industrial processes based in Asia. Data analysis, Time Series, Low Level pipeline, Genetic Algorithms
- DGA - Direction générale de l'armementNLP EngineerJune 2021 - August 2021 (2 months)Automatic updating for confidential summaryies of multiple source documents using NLP. With Paris Digital Lab.
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Education
- Master's Degree: Applied MathematicsCentraleSupélec2022Highly selective Master’s level French Grande Ecole France’s leading engineering school. Selected to be part of the Paris Digital Lab program. Scientific courses: Convergence, Integration, Probability, Partial Differential Equations, Quantum and Statistical Physics, Statistics and Learning, Machine Learning, Optimization, Particle Physics, Cosmology Engineering courses : Wave engineering, Electrical Energy, Continuum mechanics, Structural vibrations and acoustic, Safety Critical Systems Design, High Performance Computing Other courses: Economics, Law, Corporate Accounting and Finance, Financial markets theory
- Math Sup Math Spé : Preparatory classes for competitive entrance examinations of engineering schools, ScienceLa Salle - Passy Buzenval2019Math Sup Math Spé : Preparatory classes for competitive entrance examinations of engineering schools, Science