Summary
Marie Dumaz is a data scientist with eight years of experience building analytics and ML solutions, currently improving global efficiency at DHL Data & AI from Bonn. Trained in both France and the U.S. (Master’s in Computer Science from West Virginia University), she blends academic rigor with production-focused data work and is fully fluent in English and French. Her research background includes bibliometric analysis of over 100,000 papers, a published first-author Scientometrics paper, and a Python package (pyBiblio) for bibliometrics—evidence of her ability to move research into reusable tools. At DHL and Deutsche Post she has translated analytical insights into operational impact, while earlier internships exposed her to semantic web technologies and front-end languages. She brings a cross-cultural perspective and a track record of turning large academic datasets into practical analytics for enterprise-scale problems.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at West Virginia University
Bachelor's degree, Computer Science, Mathematics and Economics, Bachelor's degree, Computer Science, Mathematics and Economics at Université Grenoble Alpes
High School Diploma, Economics and Humanities, High School Diploma, Economics and Humanities at Lycée du Mont-Blanc René Dayve
French, English, Spanish, German