Robert Seidl is a highly educated and experienced data scientist, currently working as a sports data science consultant for Selbstständig. He has a Ph.D. in computer science from Technische Universität München and has also completed a nanodegree in deep reinforcement learning from Udacity. Seidl has worked for numerous organizations in the past, including Deltatre, SciSports, ParkHere GmbH, and Data Incubator Reply. He has also served as a research associate at Technische Universität München and a student trainee at Siemens.

Seidl's expertise lies in data science and machine learning, particularly in the field of sports analytics. He has experience in developing predictive models and using data to better understand player performance and team strategies. He has also worked on projects related to parking space management and the optimization of logistics operations.