BlaBlaCar
Raphaël Berly is a Senior Data Scientist at BlaBlaCar with experience in designing and deploying machine learning models for marketplace optimization and member profile moderation. Prior to this, Raphaël worked as a Data Scientist at Pretty Simple and Erento GmbH, focusing on machine learning modeling for retention and monetization, as well as churn prediction. Raphaël has also gained experience in research roles, specializing in deep learning and signal processing. With a strong technical background in Python, SQL, and various cloud platforms, Raphaël's expertise lies in data analysis, machine learning, and statistical evaluation.
BlaBlaCar
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BlaBlaCar is the world leading long-distance carpooling platform. It’s a trusted community marketplace that connects car drivers with empty seats to passengers looking for a ride, over average distances of 300km. With 60 million members in 22 countries and over 18 million travellers every quarter, BlaBlaCar is creating an entirely new, people powered, travel network. With a dedicated member relations service, a state of the art web and mobile platform, and a fast-growing trusted community, BlaBlaCar is making travel social, money-saving and more efficient for millions of members.