Marcel Kurovski is a data scientist at inovex, a German IT project house focusing on digital transformation, where he works on novel methods to exploit deep learning for recommender systems in order to better personalize content and improve user experience for clients in ecommerce and retail. His work bridges the gap between proof of concept and scalable AI systems, and his research spans recommender systems, deep learning, and methods for approximate nearest neighbor search. He holds 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.
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