Summary
Kexin Ren is a Senior Data Scientist based in Paris with 8 years of analytical experience and 4 years focused in strategy consulting, applying ML/DL to deliver business value across media, mobility, retail, energy, insurance and air traffic. She blends a strong academic foundation in transportation engineering, cognitive science and data analysis with hands-on research on massive air traffic datasets, autoencoders and image-based clustering. Her work spans predictive modeling, customer segmentation, NLP-driven sentiment and topic models, geo/mobility analytics and rigorous feature engineering for production-ready solutions. Comfortable moving between research and consulting, she combines statistical simulation and optimization with deep learning to turn complex time-series and spatial problems into actionable insights. Colleagues describe her as curious and methodical—equally at home prototyping novel ML approaches and communicating their commercial impact.
8 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.), Transportation Engineering/Data Analysis, 3.8/4.0, Master of Science (M.Sc.), Transportation Engineering/Data Analysis, 3.8/4.0 at University of Alberta
Master, Cognitive Science (Math Modeling & Computer Science), 3.7/4.0, Master, Cognitive Science (Math Modeling & Computer Science), 3.7/4.0 at Ecole normale supérieure
Exchange Student funded by Chinese Government (CSC), Civil Engineering, 16/20, Exchange Student funded by Chinese Government (CSC), Civil Engineering, 16/20 at Ecole spéciale des Travaux publics, du Bâtiment et de l'Industrie
Bachelor's degree, Traffic & Transportation, Ranking 1/32, Bachelor's degree, Traffic & Transportation, Ranking 1/32 at Southeast University
English, French, Chinese