Marcel Kurovski is a Data Scientist at inovex, a German IT project house focusing on digital transformation. He earned a master's degree in Industrial Engineering and Management from the Karlsruhe Institute of Technology (KIT) where he focused on computer science, machine learning and operations research.
Marcel works on novel methods to exploit deep learning for recommender systems in order to better personalize content and improve user experience. He works for clients in e-commerce and retail where he bridges the gap between proof-of-concept and scalable AI systems.
Marcel develops on the Python data science stack and also contributes to TensorFlow. His research spans recommender systems, deep learning as well as methods for approximate nearest neighbor search.