Olga Nikolayeva
About Olga Nikolayeva
Olga Nikolayeva is a Data Scientist currently working at LiveRamp in the San Francisco Bay Area. She has a diverse background in data science and technology, with previous roles at the University of Rochester and LabWare.
Work at LiveRamp
Olga Nikolayeva has held multiple positions at LiveRamp, a data connectivity platform. She began her tenure as a Product Operations Manager from 2018 to 2019, where she contributed for one year in the San Francisco Bay Area. Following this role, she served as a Product Expert from 2019 to 2020 for seven months. Subsequently, she transitioned to the role of Manager, Product Support Engineer from 2020 to 2021, also in the San Francisco Bay Area. Currently, she works as a Data Scientist at LiveRamp, a position she has held since 2021.
Education and Expertise
Olga Nikolayeva studied at the University of Rochester, where she earned a Master of Science (MS) in Data Science from 2015 to 2017. Prior to that, she obtained a Bachelor of Arts in Russian and Linguistics from the same institution, completing her studies from 2010 to 2014. Additionally, she attended Saint Petersburg State University, where she focused on Russian Language and Literature in 2014. Olga is proficient in Python and data analytics, with a solid foundation in relational databases, and has expertise in the ad tech and services industry.
Background
Olga Nikolayeva has a diverse professional background, beginning her career at the University of Rochester. She worked as a Peer Mentor for six months in 2011 and later served as an Information Technology Consultant from 2011 to 2014 for three years. Additionally, she was a Lab Manager for the Kinderlab and Human Language Processing (HLP) lab from 2014 to 2016. After her time at the University of Rochester, she worked at LabWare as an Associate Consultant from 2016 to 2018.
Achievements
Olga Nikolayeva has a history of working on team-based projects and conducting research in her field. Her roles at LiveRamp and the University of Rochester demonstrate her ability to contribute effectively in various capacities. Her educational background in data science and linguistics supports her expertise in data analytics and the ad tech industry.