Yoann SOH is a data scientist with a 10-year engineering background in computer science (MSc equivalent) who blends software development experience and production-focused ML expertise to deliver robust data products. He has strong hands-on experience in Python, Scikit-Learn and neural networks (TensorFlow/Keras), with a particular interest and track record in NLP, graph-based approaches and computer vision. Over five years at Mantu he led R&D in NLP and built recommendation systems for retail (Levi's), and he currently applies that applied-research mindset at Lincoln France. Comfortable moving models from research to production, he also draws on earlier full‑stack and data engineering roles (Ruby on Rails, MongoDB, ETL) to bridge product and infrastructure needs. Based in Vaulx-en-Velin, France, he brings a quantitative, problem-first approach and the versatility to switch between prototyping and deployment.
10 years of coding experience
7 years of employment as a software developer
Engineer’s Degree, Computer Science, Engineer’s Degree, Computer Science at Université de Technologie de Compiègne
High School, Sciences, Arithmetics-oriented, Third Year, High School, Sciences, Arithmetics-oriented, Third Year at Lycée Français Fustel de Coulanges
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