Daniël is a machine learning engineer at GoDataDriven. He has a broad interest and driven to learn more to enrich his machine learning & data skills. He is fascinated by data & machine learning and the possibilities these topics offer to solve real problems. 

During his studies, he has been involved in a variety of data- and machine learning projects. These projects include determining the optimal racing strategy for a world championship winning solar racing team and performing research into sample-efficient reinforcement learning.

At GoDataDriven, Daniël hopes to combine his interest in machine learning with his enthusiasm for solving real problems through building machine learning and data solutions to help clients.