Pascaline Prost is a Data Scientist with a robust background in developing Machine Learning solutions for banking and corporate environments. Currently, at Openvalue since February 2022, Pascaline focuses on real-time fraud detection in banking transactions, working on various use cases, including the design of an autoML system and the automation of data processing tasks. Prior experience includes a role at Natixis from September 2017 to January 2022, where Pascaline contributed to enhancing CRM data quality and customer knowledge through advanced data analysis techniques such as Deep Learning and NLP. Earlier positions included internships at the Autorité des marchés financiers and Société Générale, where Pascaline gained experience in service modeling and web service development, respectively. Pascaline holds a Master 2 in MIAGE Informatique Décisionnelle and degrees in MIAGE and Mathematics and Computer Science from Université Paris Dauphine - PSL.
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