Bowen Liu

Bowen Liu

Principal Data Analyst @ FINRA

About Bowen Liu

Bowen Liu is a Principal Data Analyst at FINRA, with a background in geospatial data analysis and database management. He has held various positions at the Lehigh Valley Planning Commission and has academic qualifications in Petroleum Geology and Geological/Geophysical Engineering.

Work at FINRA

Bowen Liu has been employed at the Financial Industry Regulatory Authority (FINRA) as a Principal Data Analyst since 2022. In this role, he is responsible for analyzing complex data sets to support regulatory functions. Prior to this position, he worked as a Big Data Analyst at FINRA from 2020 to 2022. His work at FINRA is focused on enhancing data-driven decision-making processes within the organization.

Previous Experience at Lehigh Valley Planning Commission

Bowen Liu held multiple positions at the Lehigh Valley Planning Commission. He served as a GIS Analyst from 2016 to 2017, where he worked for six months in the Allentown, Pennsylvania area. Following this, he worked as a Geospatial and Economic System Developer from 2017 to 2018 for one year. His final role at the commission was as a Data Specialist from 2018 to 2019, also for one year. These roles contributed to his expertise in data analysis and geospatial technologies.

Education and Expertise

Bowen Liu earned a Bachelor's Degree in Petroleum Geology from China University of Petroleum (Beijing) from 2010 to 2014. He furthered his education at the University of Pennsylvania, where he obtained a Master's Degree in Geological/Geophysical Engineering from 2014 to 2016. He possesses expertise in Python scripting, geospatial data analysis, and database management, which supports his analytical work in various roles.

International Experience

Bowen Liu has international experience, having worked as a Researcher at China National Petroleum Corporation in Daqing, Heilongjiang, China, for two months in 2013. This position provided him with insights into the petroleum industry and research methodologies.

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