Aleksandr Sinayev is an experienced data scientist and quantitative UX researcher with a robust background in machine learning and data analysis. From December 2016 to January 2019, Aleksandr worked at Via, where a prediction and optimization algorithm for driver pay was prototyped and validated, along with the development of a fraud-detection algorithm. Since March 2022, Aleksandr has served on the Board of Advisors at LevelFields. At Google, from October 2020 to May 2024, a significant role as a Senior Quantitative User Experience Researcher involved leading quantitative research for Google Sheets, focusing on AI model prototyping and causal inference. Earlier, from May 2024 to October 2020, a position as Staff Quantitative UX Researcher contributed to measuring AI feature effectiveness in Google Workspace, along with the creation of an unsupervised learning pipeline that efficiently processed and classified user data. Prior experience includes an 8-week fellowship at The Data Incubator, emphasizing advanced data science techniques.
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