Lisa Schweinester is an experienced data scientist currently employed at jambit GmbH since November 2024, with a previous role as a data analyst at H. Hugendubel GmbH & Co. KG from June 2022 to June 2023. A background in brand management includes an internship at BSH Home Appliances Group, contributing to a master thesis focused on machine learning and website personalization. Additional experience spans roles such as Junior Research Consultant and Research Consultant at Serviceplan Group, and a working student position at Textundkontext. Educational achievements include a Bachelor of Science in Data Science from IUBH Internationale Hochschule, a Master of Science in Business Administration from Otto-Friedrich-Universität Bamberg, and a Bachelor of Science in Wirtschaftswissenschaften from Julius-Maximilians-Universität Würzburg.
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