Vladimir Iglovikov

Vladimir Iglovikov is a highly educated and experienced physicist turned data scientist with a Ph.D. from the University of California, Davis, and a Master's degree in Physics from Saint Petersburg State University. He has worked for a variety of reputable organizations, including Lyft, OpenDataScience, Iterative.ai, TrueAccord, and Bidgely. His expertise lies in machine learning, data analysis, and mathematical modeling. Additionally, Vladimir has taught as a lecturer and teaching assistant at UC Davis and worked as a graduate research assistant at both UC Davis and Saint Petersburg State University.

As a staff engineer at Lyft, Vladimir is currently responsible for developing machine learning models for various business verticals. He has also served as an advisor at Iterative.ai, where his responsibilities included providing advice and guidance on machine learning projects. Vladimir is also known for his evangelism work at OpenDataScience, where he helped promote the development of open-source data science tools and processes.

Overall, Vladimir Iglovikov is a highly skilled and respected data scientist with years of experience in the field. His expertise in machine learning and data analysis has proven invaluable to the organizations he has worked with, and his work has helped create innovative solutions that drive business success.