Nataliya Le Vine
About Nataliya Le Vine
Nataliya Le Vine is the Lead Data Scientist at MassMutual in the United States, with a background in data science, research, and hydrology.
Current Position at MassMutual
Nataliya Le Vine is currently serving as the Lead Data Scientist at MassMutual in the United States. In her role, she leverages her extensive experience in data science to contribute to the organization's data-driven decision-making processes. Her responsibilities likely include developing machine learning models, analyzing large datasets, and presenting findings to both technical and nontechnical audiences.
Previous Experience at Swiss Re America
From 2017 to 2023, Nataliya Le Vine worked at Swiss Re America in Armonk, NY, serving as a Senior Data Scientist for six years. In this position, she focused on utilizing data science techniques to analyze risk and provide insights. Her role involved handling both structured and unstructured datasets, developing innovative solutions using machine learning and Bayesian statistics.
Academic and Research Career at Imperial College London
Nataliya spent several years at Imperial College London in various roles. She was an Honorary Research Fellow from 2016 to 2019, a Lecturer (Assistant Professor) in Hydrology from 2013 to 2016, and a Post-doctoral Research Associate from 2008 to 2013. During her time at the institution, she conducted extensive research in hydrology, published findings, and communicated her research to a broad audience.
Educational Background
Nataliya Le Vine holds a PhD in Hydrology and Water Resources from the University of Arizona, which she attained between 2003 and 2007. She also earned both a Bachelor of Science (BSc) and a Master of Science (MSc) in Applied Mathematics from V. N. Karazin Kharkiv National University, completed between 1998 and 2003. Her strong academic background laid the foundation for her expertise in data science and machine learning.
Experience at Samsung Electronics
Nataliya worked as a Lead R&D Engineer at Samsung Electronics in Kiev, Ukraine, from 2016 to 2017 for 11 months. This role involved research and development projects where she applied her skills in data science and engineering to create innovative solutions and products for the company.