Difei (Sophie) Zhang
About Difei (Sophie) Zhang
Difei (Sophie) Zhang is a Revenue Analyst at FLEETCOR in Buckhead, Georgia, where she has worked since 2021. She holds Master's degrees in Quantitative Management: Business Analytics from Duke University and Professional Accountancy from the University of California, San Diego.
Work at FLEETCOR
Difei (Sophie) Zhang has been employed as a Revenue Analyst at FLEETCOR since 2021. Based in Buckhead, Georgia, she has contributed to the company's revenue analysis efforts for three years. In her role, she utilizes advanced data visualization tools such as Tableau and Power BI to support data-driven decision-making processes. Zhang conducts A/B testing to assess the effectiveness of pricing strategies on revenue growth, applying her analytical skills to enhance the company's financial performance.
Education and Expertise
Zhang holds a Master's degree in Quantitative Management: Business Analytics from Duke University's Fuqua School of Business, where she studied from 2020 to 2021. Prior to that, she earned another Master's degree in Professional Accountancy from the Rady School of Management at the University of California, San Diego, from 2019 to 2020. She completed her Bachelor's degree in Accounting at Zhongnan University of Economics and Law, graduating in 2017. Zhang's education has equipped her with a strong foundation in data analysis, financial modeling, and machine learning techniques.
Background
Before joining FLEETCOR, Zhang gained experience in various roles within the finance and auditing sectors. She worked as a Consultant for the Duke Office of Audit, Risk, and Compliance for two months in 2021. Prior to that, she served as an Audit Intern at Deloitte in Wuhan, China, for two months in 2016 to 2017, and as an Auditor at EY for one year from 2017 to 2018. Additionally, she worked as a Financial Analyst at Gosun Holding Co Ltd in Beijing for two months in 2015 to 2016.
Technical Skills
Zhang leverages her technical skills in Python, SQL, and R to automate data analysis workflows, enhancing efficiency in her work. She applies machine learning techniques to optimize revenue forecasting models, demonstrating her ability to integrate advanced analytical methods into her revenue analysis processes. Her proficiency in data visualization tools such as Tableau and Power BI further supports her role in making informed, data-driven decisions.
Professional Development
Throughout her career, Zhang has focused on developing her expertise in financial analysis and data-driven decision-making. Her roles have included conducting A/B testing to evaluate pricing strategies and employing financial modeling skills to support strategic planning and budgeting initiatives. This focus on continuous improvement and application of analytical techniques has been a significant aspect of her professional journey.