Sevan Garois is currently working as a Data Science Technical Writer at Dataiku since August 2023. Prior experience includes serving as a Doctoral Student at IRT M2P from April 2020 to August 2023, focusing on machine learning modeling for qualitative process parameters following electromagnetic induction on complex geometries. Sevan also gained experience as an R&D Machine Learning Intern at Total from September 2019 to February 2020, where the role involved evaluating and benchmarking automatic machine learning solutions. Earlier experience includes working as a Full Stack Web Developer Intern at Selectively, specializing in React-Redux and Node.js from February 2018 to August 2018. Sevan holds an engineering degree in Computer Engineering from Université de Technologie de Compiègne, completed between 2016 and 2019, and attended CPGE from 2014 to 2016.
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