Bader Dammak

Bader Dammak is a skilled data scientist with extensive experience in machine learning and artificial intelligence. Currently at Datakeen since January 2021, Bader has implemented AI projects tailored to client goals and improved document extraction models. Previously, Bader worked as a machine learning engineer at Therapixel, focusing on data augmentation for medical imaging using Generative Adversarial Models. Key accomplishments also include contributions to automatic data analysis and image classification at Datakeen, experimentation with fraud detection models at Groupe BPCE, and research on scalable solutions for data streams at Télécom ParisTech. Bader holds a Master’s in Applied Mathematics/Data Science from École Polytechnique and engineering degrees in Applied Mathematics from ENSTA Paris and Ecole Nationale d'Ingénieurs de Tunis.