Daniel Pózner is a Senior Data Scientist at SAP, specializing in time series forecasting, machine learning, and innovative data solutions. With over four years of experience, they orchestrated the development of the IBP Demand forecast explanation capability and conducted extensive research on outlier handling, leading to the creation of an automated solution. Prior to this role, they were a Trainee Data Scientist at Deutsche Telekom IT & Telecommunications Hungary Kft. Daniel actively presents at industry conferences and aims to advance into AI Product Management or Lead Data Scientist positions, leveraging their technical and leadership skills to drive innovation.
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