Paolo Fantinel

Paolo Fantinel is a Senior Data Scientist at DAIN Studios, with extensive experience in the Pharma, Delivery services, and Accounting services industries, focusing on customer churn analysis, root cause analysis, and model explainability using Python. Previously, as a Data Scientist Consultant at Accenture, Paolo contributed to various projects across pharma, retail, and industrial chemistry sectors, including marketing effectiveness estimation, role management in IAM, and predictive maintenance. Paolo's academic background includes a PhD in Physics from The University of Göttingen, alongside roles as a postdoctoral researcher and teaching assistant, complemented by a Master's degree from Università degli Studi di Padova. Additionally, Paolo completed a ML DevOps Engineer program at Udacity.