Tatjana Predojev is a Senior Machine Learning Engineer at SumUp, with a focus on designing and maintaining data pipelines and in-house feature stores, particularly in the domain of payment fraud prevention. Prior experience includes roles at Springer Nature as a Data Engineer, where content usage data was processed and stored for reporting, and Zhilabs as a Data Scientist, specializing in the classification of encrypted video streaming traffic. Tatjana also worked at Accenture on an in-house analytics tool for supply chain optimization and conducted research during a Ph.D. candidacy at CTTC, where wireless communication algorithms for IoT devices were developed. Academic qualifications include a Ph.D. in Signal Theory and Communications from Universitat Politècnica de Catalunya and a Master's in Electrical and Computer Engineering from the University of Novi Sad.
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