Zane Duan
About Zane Duan
Zane Duan is an Associate Data Scientist with a Master's degree in Business Administration from North Carolina State University. He has a diverse background in data analysis and operations, having previously worked in various roles at Advance Auto Parts, MetLife, and DISH Network.
Work at Advance Auto Parts
Zane Duan currently serves as an Associate Data Scientist at Advance Auto Parts, a position he has held since 2021. In this role, he utilizes tools such as Google Analytics, Quantum Metric, and Namogoo to track eCommerce metrics, providing insights for both the website and mobile app. His work includes producing reports related to the React conversion of the B2C website and monitoring Core Web Vitals to ensure a smooth transition. Additionally, he collaborates with a Senior Web Analyst on A/B Testing projects aimed at enhancing customer experience and increasing profitability.
Education and Expertise
Zane Duan holds a Master of Business Administration (MBA) from North Carolina State University, which he completed from 2019 to 2022 with a 4.00 GPA. He also earned a Bachelor's degree in Economics and Information Systems from the University of North Carolina at Chapel Hill, studying from 2011 to 2015. Prior to his university education, he graduated with a High School Diploma from the North Carolina School of Science and Mathematics, where he studied from 2009 to 2011.
Background
Zane Duan has a diverse professional background, beginning his career as a Sales Representative at DISH Network in 2014. He then worked at MetLife, where he held two positions: Technical Associate from 2015 to 2016 and Associate Software Development Engineer from 2016 to 2018. Following his tenure at MetLife, he transitioned to Advance Auto Parts as a Merchandise Operations Specialist from 2018 to 2021 before moving into his current role as Associate Data Scientist.
Achievements in Data Analysis
In his current role, Zane Duan has developed over 200 ad-hoc reports using Excel, Power BI, and Snowflake SQL to visualize market trends and monitor sales performance. He has designed Google and Tealium web tagging for both the website and mobile app, ensuring accurate capture of web activities for analysis. Zane has also collaborated on testing new Natural Language Processing (NLP) and Recommendation Models in Amazon Web Services, documenting test results and providing feedback for improvement.