Die Mobiliar
Michael Gross is an experienced Data Scientist and Software Developer at Die Mobiliar since October 2018, where significant contributions include co-leading the customer feedback workflow implementation on Databricks and developing MLOps tools. Prior roles include Data Science Trainee at Achmea, where machine learning model comparisons were conducted, and additional training in natural language processing and cyber risk modeling. Michael has also completed a Deep Learning Nanodegree at Udacity and has interned at Xilinx, with research experience at ETH Zurich as both a Research Assistant and Teaching Assistant. Michael holds a Master of Science in Electrical Engineering and Information Technology and a Bachelor of Science in Electrical and Electronics Engineering from ETH Zurich.
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