Valentin Glaser is a Data Engineer and Data Scientist at tesa Werk Offenburg GmbH since August 2022, focusing on the development of a platform for holistic data analysis of production processes, employing BI tools for ETL, analysis, and visualization using SQL and Python, and engaging in ML use cases within a production environment. Previously, Valentin completed a Master's thesis at wbk Institut für Produktionstechnik, KIT, on reinforcement learning agents for optimizing production control systems in collaboration with Robert Bosch GmbH. Additionally, experience includes a role as a Research Assistant at IPEK, working on topology optimization for SLM-manufactured lightweight structures, and assistance as a tutor in CAE workshops. An engineering internship at Daimler AG involved product and process development for lightweight structural components. Valentin holds a Master of Science and a Bachelor of Science in Mechanical Engineering from the Karlsruhe Institute of Technology.
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