Natalia Ogneva
About Natalia Ogneva
Natalia Ogneva is a Senior Data Scientist currently working at Flo Health Inc. in Vilnius, Lithuania, with a strong background in data analysis and user behavior patterns, having previously held positions at notable companies such as SberMarket, SEMrush, and JetBrains.
Current Role at Flo Health
Natalia Ogneva currently serves as a Senior Data Scientist (Data Analyst) at Flo Health Inc. since 2022. In this role, she applies her expertise in data analysis to support the company's objectives. Her responsibilities include analyzing user behavior patterns and testing product hypotheses using large-scale data sets, which can reach up to 5TB. Natalia's work contributes to enhancing the user experience and optimizing product offerings.
Previous Experience at SberMarket
Prior to her current position, Natalia worked at SberMarket as a Senior Data Scientist (Data Analyst) from 2021 to 2022. During her tenure, she focused on data analysis projects that informed business decisions. Her experience in this role helped her develop skills in workflow automation using Airflow and version control with Git.
Professional Background in Data Science
Natalia has a diverse background in data science, having worked at several notable companies. She was a Data Scientist (Data Analyst) at SEMrush from 2016 to 2018 and at Wrike from 2018 to 2020. Additionally, she briefly worked at JetBrains in 2020. Throughout these roles, she gained experience in business intelligence tools like Tableau and Metabase, and honed her skills in SQL technologies such as PostgreSQL, BigQuery, and ClickHouse.
Education and Academic Qualifications
Natalia holds a Master of Mathematics from Saint Petersburg State University, where she studied from 2007 to 2012. She also earned a Master of Economics from the European University at St. Petersburg, completing her studies from 2012 to 2014. Her educational background provides a strong foundation for her analytical skills and understanding of economic principles.
Technical Skills and Expertise
Natalia possesses advanced technical skills in data analysis, utilizing a wide range of Python libraries such as NumPy, Pandas, and Scikit-learn. She is also experienced in advanced AB testing techniques, including stratification, CUPED, and predicted CUPED. Her proficiency in these areas enables her to lead data-driven projects and present findings to top management effectively.