Alexander Schnell


Data Scientist


W&H Dentalwerk


Alexander Schnell tackles general topics in the context of data analysis and the emerging digital and IoT connectivity products at W&H and specially focuses on establishing a predictive maintenance framework in the company. After finishing his PhD in “Logistics and Operations Management” at the University of Vienna, he successfully developed and deployed algorithms for efficient route planning and logistics optimization in practice. In 2017, he joined the ‘Team for Digital Solutions’ at W&H as a data scientist.

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