Summary
Ulrich Tchuenkam is a bilingual Data Engineer with 11 years of experience building data-driven solutions across healthcare, finance, and telecom sectors. He combines practical machine learning and deep learning experience—from facial landmarking and anthropometric analysis in medical research to NLP, time series forecasting, and productionized data pipelines for enterprise clients. A fast learner who thrives on challenges, he has moved between consultancy and in-house roles at Capgemini, Orange and Crédit Agricole, demonstrating adaptability and ownership in both team and autonomous settings. Based in Lille, he leverages a Master's in Healthcare Data Science and a software engineering background to bridge research-grade models and scalable engineering for decision support. Notably, his work includes end-to-end model deployment and data productization, reflecting a rare blend of hands-on experimentation and production delivery.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Healthcare Data Science, Master's degree, Healthcare Data Science at UFR3S - Département d'Ingénierie et Management de la Santé (ILIS) - Université de Lille
B.Eng, Software Engineering, B.Eng, Software Engineering at University of Buea
English, French