Daniela Schloeter is a data scientist and machine learning expert with a background in industrial engineering and project management. They served as a Technology Science Research Fellow at Harvard University, where they analyzed data privacy issues and developed interactive web tools. Currently, Daniela leads Supply Chain Analytics at Nestlé, applying machine learning techniques to enhance human capital insights. They also contributed to academia as a teaching assistant in a Data Science graduate program and have held various research and analytical roles across different sectors. Daniela earned an M.S. in Data Science from The George Washington University and a Master of Research in Interaction Design from Arts et Métiers ParisTech.
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