Laura Scholasch

Laura Scholasch is a data scientist at Picard Surgelés, specializing in data structuring, automation, and machine learning applications, including systems of recommendation and customer lifetime value analysis, utilizing DSS Dataiku with Python and SQL. Prior experience includes a stint at CEA as an intern focusing on deep learning for geophysical event interpretation, and a role at CNAM Ile-de-France where statistical studies were conducted on attitudes toward connected objects in the workplace using machine learning techniques. Laura holds a double master's degree in Innovation, Markets, and Data Science from Université Paris-Saclay and has a technical foundation in statistics and decision-making from IUT de Paris - Rives de Seine and ENSIIE.