Marie Crappe

Marie Crappe has extensive work experience in data and technology roles. Marie is currently the Head of Data at Choose since April 2023. Prior to that, they served as the Head of Data at Sunday from February 2022 to June 2022. Marie worked at Veepee from September 2019 to February 2022, holding positions such as Head of Data Science & Analytics and Head of Data Science. Marie also worked as the Chief Technology Officer at StaffMe from March 2018 to July 2019. Before that, they worked as a Data Scientist & Consultant at Talan Consulting from September 2017 to February 2018. Marie also held the role of Project Coordinator and Data Scientist at RATP from July 2016 to September 2017. Marie started their career as a Digital Consultant at Freelance from January 2015 to June 2016 and later worked as a Project Manager in the International Digital Development team at L'Oréal from January 2015 to July 2015. Marie began their professional journey as a Marketing and Analytics Intern at Turo from July 2014 to December 2014. Marie also worked as a Student Marketer at Graduate Promotions from September 2013 to June 2014.

Marie Crappe has a diverse education history in the fields of business, innovation, data science, and civil engineering. Marie holds a Master's degree in Management from HEC Paris and a Master of Research degree in the field of "Innovation, Entreprise & Society" from École Polytechnique. Additionally, they have a Master of Engineering (M.Eng.) degree in Data Science & Distributed Systems and Softwares from Télécom Paris. Marie also participated in the Stanford Summer International Honors Program at Stanford University, where they studied Civil Engineering and Technology Entrepreneurship.

In terms of certifications, Marie has obtained several certifications related to data, cloud technology, and programming. Some of these include certifications in Infrastructure and Application Modernization with Google Cloud, Innovating with Data and Google Cloud, Understanding Google Cloud Security and Operations, and Introduction to Digital Transformation with Google Cloud from Google. Marie has also completed courses such as Architecting with Google Kubernetes Engine: Foundations from Coursera and Computer Science 101 from Stanford University. Additionally, Marie has certifications in Intermediate Python for Data Science, Intermediate R, Intro to Python for Data Science, Introduction to Programming (in Java) from EPFL (École polytechnique fédérale de Lausanne), Introduction to R, Neural Networks and Deep Learning, Structuring Machine Learning Projects, and The Data Scientist's Toolbox from various institutions.