Shengnan (Cecily) Sun
About Shengnan (Cecily) Sun
Shengnan (Cecily) Sun is a Senior Data Scientist at American Electric Power, where she has worked since 2022. She has a strong background in statistics and sports economics, with experience in both healthcare and financial data analysis.
Work at American Electric Power
Shengnan (Cecily) Sun has been employed at American Electric Power as a Senior Data Scientist since 2022. In this role, she applies her analytical skills to support data-driven decision-making within the organization. Her responsibilities likely include developing predictive models, conducting quantitative analyses, and collaborating with cross-functional teams to enhance operational efficiency.
Previous Experience in Data Analysis
Before joining American Electric Power, Sun worked at Citizens as a Data Scientist and Assistant Vice President from 2019 to 2022. She also served as a Data Research Analyst at Nationwide Children's Hospital for eight months in 2018 to 2019. These roles contributed to her expertise in data analysis and reinforced her ability to transition between different sectors, including healthcare and finance.
Education and Expertise
Shengnan Sun holds a Master's degree in Statistics from The Ohio State University, where she studied from 2016 to 2018. Additionally, she earned a Doctor of Philosophy (PhD) in Sports Economics from Zhejiang University, completing her studies from 2009 to 2013. Her educational background provides her with a strong foundation in quantitative risk analysis, particularly within the financial and banking sectors.
Background in Statistics and Sports Economics
Sun possesses a strong background in both statistics and sports economics. This combination of disciplines allows her to apply analytical skills to a variety of contexts, enhancing her versatility as a data scientist. Her knowledge in these areas supports her work in quantitative risk analysis and informs her approach to data-driven decision-making.
Career Transition and Versatility
Shengnan Sun's career reflects a successful transition from healthcare data analysis to financial data science. This shift demonstrates her adaptability and ability to apply her data science skills across different industries. Her experience in both sectors highlights her versatility and commitment to leveraging data for informed decision-making.