Yasmina Kerkeb

Yasmina Kerkeb is a skilled Research Data Scientist at SOPHiA GENETICS, with experience in building and adapting deep-learning models for organ and lesion segmentation, as well as conducting radiomics analysis. Previously, Yasmina worked as a Data Scientist Intern at Saint-Gobain Distribution Bâtiment France, where dashboard design for churn detection management and time series HR turnover modeling were key responsibilities. Prior to that, at Crédit Agricole Brie Picardie, Yasmina collected and analyzed geographic data, trained machine learning models for customer analytics, and contributed to model industrialization design. An educational background includes a General Engineering Diploma from Ecole centrale de Lyon and a Master’s in Data Science from Université Claude Bernard Lyon 1, complemented by an exchange program at DTU - Technical University of Denmark. Technical expertise encompasses Python, SQL, Apache Spark, and Azure Services.