Sarah Diot-Girard is a Machine Learning Engineer at Owkin since January 2023, with a strong background in data science and machine learning. Prior experience includes serving as Tech Lead for Credit Modelling at Hokodo, where leadership of the credit modelling team resulted in the implementation of B2B short-term credit scores and the maintenance of numerous models in production. As a Senior Data Scientist at PeopleDoc France, achievements included the development of an automated classification pipeline for HR documents that enhanced workflow and reduced errors. Earlier roles featured contributions to data-driven algorithms for connected cars at WayKonect and research in machine learning at Dassault Systemes, including advanced work on rule inference engines and bioinformatics. Sarah holds an Engineering degree in Mécatronique from ENSTA Paris and a Master of Science in Robotics, Cognition, Intelligence from the Technical University of Munich.
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