Facundo Nahuel Paris is a data scientist at Leniolabs LLC, specializing in customer segmentation and recommendation systems, with experience developing a cluster model and a recommendation engine using AWS Personalize since August 2020. Prior to this role, Facundo Paris was a PhD student at CONICET from February 2019 to August 2020, focusing on magnetic domain wall anchoring at the Instituto Balseiro. Facundo Paris also holds a Master’s degree in Physics from the Instituto Balseiro, where the thesis concentrated on deep learning for viscosity prediction, and a Bachelor's degree in Physics from Universidad Nacional del Sur, completed in 2017.
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