Volha Leusha

Volha Leusha is a highly experienced data scientist and technical leader with a strong background in machine learning and data analysis. Currently serving as a Staff Data Scientist (Tech Lead) at Sift since February 2021, Volha is focused on building scalable, ML-powered products for Trust & Safety. Prior experience includes roles as a Senior Data Scientist and Machine Learning Engineer at Viralspace.ai, where Volha designed innovative models for product detection and automated labeling. Volha's academic credentials include a graduate program in Artificial Intelligence from Stanford University and dual master's degrees in Information and Communication Systems and Technology Management. Additional experience spans various roles at Procter & Gamble, where Volha led projects related to product quality control and supply chain analysis, as well as early engineering positions at Engineering and Design Inc. and Belarusian Railway.