Stéphane Damolini is a Senior Data Scientist at KAYAK, specializing in the development, deployment, and maintenance of deep machine learning models for price prediction and time series forecasting in the R&D department. Prior experience includes serving as a Data Science Researcher and Principal Engineer at Jensen Hughes, where Stéphane co-created the Data Automation & Machine Learning initiative and led significant Probabilistic and Risk Assessment projects for nuclear reactors in multiple countries. Previous roles encompass data science and engineering positions at Stevenson & Associates, BVIP, and VINCI, contributing to pioneering numerical models and data automation solutions. Stéphane holds a Master of Engineering in Civil and Environmental Engineering from the Massachusetts Institute of Technology and a Master of Science in Civil Engineering from ESTP.
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