Summary
Wajdi Saad is a senior data scientist and educator based in Paris with 11 years of experience applying ML, NLP and visualization to finance, media and telecom problems. He has led data science teams and roadmaps at fintechs and broadcasters—building predictive systems, recommendation engines and operational analytics—and currently teaches a data visualization module at Université Paris Cité using Python, R and D3.js. Comfortable moving between hands-on engineering (Python, Docker, AWS, Redshift) and strategic roles, he has a track record of scaling analytics practices, setting OKRs and hiring talent. His background spans applied research to product delivery, from music recommendation at Radio France to cash-request forecasting in fast-growth fintechs, and he often blends statistical rigor with creative visual storytelling. An experienced trainer and founder of a statistics club, he routinely bridges academic teaching and production ML.
11 years of coding experience
12 years of employment as a software developer
Statistician (Engineering degree ), Statistics, Statistician (Engineering degree ), Statistics at École Supérieure de la Statistique et de l'Analyse de l'Information
Master's degree, Innovation Management, Master's degree, Innovation Management at National Engineering School of Tunis (ENIT), University of Tunis El Manar
Master's degree, Innovation Management, Master's degree, Innovation Management at Leipzig University
Preparatory Classes : Math Major, Preparatory Classes : Math Major at Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis
Spanish, Arabic, German, French, English