Clément G.

I hold advanced degrees in Statistics, Data Science, and Machine Learning from leading French institutions, with a strong academic focus on applied machine learning and artificial intelligence. - Master of Science in Mathematics, Vision and Learning (MVA) – Paris-Saclay University Graduated with Highest Honors Specialized in Machine Learning, Deep Learning, Computer Vision, and Reinforcement Learning. This highly selective program is internationally recognized for training top-level AI researchers and engineers. - Engineering Degree in Data Science – ENSAE Paris Advanced training in statistical modeling, machine learning, and large-scale data analysis, with strong foundations in probability theory and applied mathematics. - Master of Science in Statistical Methodology – University of Rennes 2 Graduated with Highest Honors Focus on econometrics, time-series analysis, and machine learning. - Engineering Degree in Statistics and Probabilities – ENSAI Comprehensive training in statistical methods, programming, and data-driven decision-making. Notable Achievements : - 6th Place – European Big Data Hackathon (2025) Selected among 27 international teams for methodological excellence and policy relevance in geospatial AI. - 1st Place – ENSAE–EY Machine Learning Hackathon Developed a predictive model for customer behavior using real-world retail data. - Designed and delivered professional training programs in data science and R programming for government statistical agencies.

• Guitar & Music Theory: Intermediate player, organizes jam sessions, and explores composition and improvisation
• Chess (1600+ on Chess.com): Regular tournament participant, enjoys teaching strategy and problem-solving
• Surfing: Intermediate level, daily practice for 4+ years, passion for ocean sports and outdoor challenges