Amanda Kuznecov is a Senior Data Scientist based in New York with six years of experience bridging data science and geotechnical engineering across finance and infrastructure domains. After earning an MS in Data Science from NYU and a B.A.Sc. in Geological Engineering from UBC, she transitioned from hands-on rock mechanics and hydrogeological modeling to building data-driven products at Revelio Labs. Her background enables her to translate complex spatial and physical models into actionable analytics, particularly where engineering uncertainty and human capital intersect. At SRK and McMillen Jacobs she co-developed practical tools for stability assessment and settlement modeling, a foundation that informs her pragmatic approach to modeling and feature engineering. She seeks full-time roles in technology, sports, or health care and brings an uncommon blend of field-calibrated intuition and modern machine learning practice.
6 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at New York University
Bachelor of Applied Science (B.A.Sc.), Geological Engineering, Bachelor of Applied Science (B.A.Sc.), Geological Engineering at The University of British Columbia
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