Oualid Akhsass is a Senior Data Scientist based in Rennes with six years of experience building ML and deep learning solutions that bridge research and production. He has applied NLP and domain-specific transformers (e.g., ChemBERT) for information extraction at Iktos, led applied AI projects across industry and government (finance, banking, and commodities forecasting), and now drives data initiatives at Groupe Clarins. Comfortable across the ML lifecycle, he invests in MLOps—deployment, orchestration, and monitoring—to turn models into reliable business impact. His background in econometrics and time series forecasting complements his modern ML practice, enabling robust solutions for pricing and macro-level modeling. Colleagues describe him as a curious problem-solver who blends statistical rigor with practical cloud and engineering skills.
6 years of coding experience
9 years of employment as a software developer
Statistician and Economist Engineer Economy Data Science, Statistician and Economist Engineer Economy Data Science at Institut National de Statistique et d'Economie Appliquée (INSEA)
Mathematics and Statistics, Mathematics and Statistics at Classes Préparatoires au Grandes Écoles AL CACHY
Bachelor in Mathematical Science, Bachelor in Mathematical Science at Lycée Abdelkerim Raïs
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.