Summary
Sebastian Schubert is a Lead Data Catalyst for eCommerce with a decade of hands-on experience turning industrial engineering and business insights into machine-learning-driven operational improvements. He combines a strong MS in Industrial Engineering and Management with cross-functional experience at Siemens Energy, Diehl, BMW, Audi and Simon-Kucher to deliver predictive models, process digitalization, and efficiency gains across manufacturing and product teams. Known as an outgoing, international collaborator, he has led rotational data programs and research initiatives that blend predictive maintenance, scrap reduction, and novel workforce models. Sebastian’s practice emphasizes shipping practical ML solutions in Python and TensorFlow that tie directly to business KPIs, and he brings a rare mix of consulting rigor and shop-floor empathy to scale analytics in complex industrial environments.
9 years of coding experience
4 years of employment as a software developer
Exchange semeter at the Universidad de Cádiz within the Erasmus program, Exchange semeter at the Universidad de Cádiz within the Erasmus program at Universidad de Cádiz
Master of Science - MS Industrial Engineering and Management, Master of Science - MS Industrial Engineering and Management at FAU Erlangen-Nürnberg