Adreanna Pham
About Adreanna Pham
Adreanna Pham is a Chargeback Analyst at TOMS with a background in economics, finance, and marketing, and has experience in statistical modeling and data visualization.
Current Role as Chargeback Analyst at TOMS
Adreanna Pham currently holds the position of Chargeback Analyst at TOMS. In this role, she has successfully decreased chargebacks by $1,000,000 and reversed over $15,000 in chargebacks. She collaborates effectively with finance and supply chain teams, challenging over 3,000 chargebacks and working to prevent future compliance errors.
Previous Roles in Marketing and Policy Research
Adreanna Pham has accumulated diverse experience through several positions. At Global Hope 365, she served as Policy Research and Summit Coordinator for three months in Tustin, California. In 2021, she was the Advertising Manager for The Panther Newspaper at Chapman University for six months. Her marketing experience also includes a role as Marketing Associate at ourCommonplace in Los Angeles for four months from 2020 to 2021.
Supply Chain and Technical Roles
In 2020, Adreanna worked as a Supply Chain Manager at CollectiveOfficialCo in Orange County, California, for five months. During her academic tenure, she also served as a Server Administrator - Student Assistant to the IS&T Department at Chapman University from 2017 to 2021.
Educational Background and Fields of Study
Adreanna Pham's educational background is extensive and varied. She earned a BS in Business Administration with an emphasis on Finance, a BA in Economics, and a minor in Music Technology from Chapman University. She achieved an M.S in Agricultural and Natural Resource Economics from the University of California, Davis. Additionally, she studied Economics and Finance at City, University of London, and attended JSerra Catholic High School.
Skills in Economic Analysis and Data Visualization
Adreanna Pham is proficient in data visualization and economic analysis using tools such as R, Stata, and Excel. She has developed and analyzed statistical models to drive actionable strategies in natural resource management. Her knowledge extends to climate science, supported by climate policy analysis and abatement cost, social welfare, and optimization calculations. She is currently expanding her quantitative skills by learning Python.