Raphael Cousin
Substitute Teacher @Sorbonne University
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WORK HISTORY
Substitute Teacher @Sorbonne University
Paris, FR
I lead the comprehensive Practical Data Science course within the MSC Statistics & Data Science program at LPSM - Pierre and Marie Curie/Sorbonne University. This course covers the complete data science practice, equipping students with essential skills to transform raw data into concrete solutions.Key topics of the course include:• Work environments and version control with Git and Docker• Data preparation and visualization• Hyperparameter optimization and model selection• Deep learning fundamentals and applications in image and text processing• Recommender systems• Generative models• Fundamentals of reinforcement learningCourse materials available at:
EDUCATION
Université de Pau et des Pays de l'Adour
Licence 1 et 2, Fundamental Mathematics
Pierre and Marie Curie University
Master 2 Data Science and Statistics
42 Silicon Valley
Computer Software engineering
Université de Bordeaux
Licence 3, mathematical engineering
Lycée francais d'Alicante (Espagne)
Baccalauréat, S
Lycée Fénelon (Paris 6)
Classe Préparatoire MPSI
42 Paris
Computer Software engineering
Pierre and Marie Curie University
Master 1 Applied Mathematics
SKILLS
ABOUT RAPHAEL COUSIN
Data Engineer and Scientist with a strong background in mathematics and software development. Experienced in deploying and managing large-scale production projects across the entire data chain. Proficient in cloud architectures, data workflows, and machine learning. Proven ability to lead teams and drive innovation in AI solutions. Eager to bridge the gap between business needs and practical solutions, with a focus on building robust, scalable, and efficient data
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