Clément Lecomte is a seasoned data scientist with extensive experience in data optimization and engineering. Clément began a career as a Data Scientist at Nextino and subsequently worked as an Ingénieur d’études at Modis and AUSY, focusing on predictive maintenance for SNCF. Clément also served as an Enseignant en Data Science at CESI Ecole d'Ingénieurs, instructing fifth-year students on deep learning concepts. Currently, Clément is pursuing a Doctorate in Computer Science at Institut National des Sciences Appliquées Centre Val de Loire while working at Worldline as a Doctorant chercheur, specializing in energy and environmental optimization of data centers. Educational qualifications include a Master of Science in Mathematics from Université de Reims Champagne-Ardenne and certification as an Analyste SOC from Orsys.
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