Summary
Mehdi Miah is a research scientist and data scientist based in Paris with a PhD in computer science and a decade of experience applying statistical and machine learning methods to real-world problems. His background spans academia and industry, from developing aggregated prediction models and OCR-enhanced recommendation systems to teaching and supervising practical coursework at Polytechnique Montréal. Comfortable with end-to-end projects, he blends computer vision research instincts with strong R and data-cleaning expertise demonstrated on transport and healthcare analytics. He has a solid engineering foundation from top French institutions (ENSAE, Télécom SudParis, Université Paris-Saclay) and a track record of turning complex data into actionable models and decision tools. Colleagues value him for bridging rigorous research with pragmatic deployment, notably integrating novel OCR pipelines into production recommender workflows.
10 years of coding experience
1 year of employment as a software developer
Mathematics, Mathematics at Lycée Saint Louis
PhD, Computer science, PhD, Computer science at Polytechnique Montréal
Master recherche M2, Data Science, Master recherche M2, Data Science at Université Paris-Saclay
Diplôme d'ingénieur, Data Science, Diplôme d'ingénieur, Data Science at Ensae ParisTech
Baccalauréat, Baccalauréat at Lycée Henri Matisse, Montreuil
Mathematics and Computer Science, Mathematics and Computer Science at Télécom SudParis
French, English