Summary
M-anas Knefati is a Senior Data Scientist based in Rennes with nine years of experience applying machine learning and deep learning across research and industry settings. With a research doctorate in applied mathematics and roles spanning academia, research institutes, and telecom (including Orange), he bridges theoretical rigor and production-ready predictive modeling. His background includes building resource-prediction models for data centers and engineering applied ML solutions in collaboration with national schools and research labs. Comfortable as both a researcher and practitioner, he blends deep mathematical training with hands-on data engineering skills evident from his GitHub bio. Colleagues describe ML and deep learning as his hobby—a clue to his continuous self-driven experimentation beyond day-to-day projects.
9 years of coding experience
8 years of employment as a software developer
Research Doctorate, Applied Mathematics, Research Doctorate, Applied Mathematics at University of Poitiers
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at University of Paul Sabatier
Master's degree, Pure mathematics, Master's degree, Pure mathematics at University of Aleppo
Master's degree, Computer Science, Master's degree, Computer Science at University of Rennes 1