Daniel (Yuhe) Ding
About Daniel (Yuhe) Ding
Daniel (Yuhe) Ding is a Customer Success Manager at AppsFlyer, with a background in digital retail consulting and management consulting. He holds multiple degrees, including a Master's in Construction Management from the University of Pittsburgh and a Master's in Information Systems and Operations Management from the University of Florida.
Current Role at AppsFlyer
Daniel Ding serves as a Customer Success Manager at AppsFlyer, a position he has held since 2020. Based in Beijing, China, he focuses on enhancing customer experiences and ensuring client satisfaction. His role involves leveraging his expertise in statistical analysis and digital retail consulting to provide tailored solutions that meet client needs.
Previous Experience at Hejun Group
Prior to his current role, Daniel worked at Hejun Group as a Project Manager in the Division of Commercial Retail from 2019 to 2020. During his time in Beijing, he contributed to various projects that aimed to improve retail operations and client engagement within the commercial sector.
Educational Background
Daniel has a diverse educational background. He earned a Master's degree in Construction Management from the University of Pittsburgh in 2014. Additionally, he studied at the University of Florida - Warrington College of Business, where he completed a Master's degree in Information Systems and Operations Management in 2018. He also holds a Bachelor of Science in Construction Cost from Shenyang Jianzhu University, which he completed in 2013.
Technical Skills and Expertise
Daniel possesses strong technical skills in programming languages such as Java, C#, and SQL. These skills are instrumental in optimizing customer success strategies and solutions. His expertise in statistical analysis further enhances his ability to support clients effectively, particularly in the retail sector.
Experience as Data Analyst
Before joining AppsFlyer, Daniel worked as a Data Analyst for the City of Gainesville from 2017 to 2018. In this role, he utilized data analysis techniques to inform decision-making processes and improve operational efficiency within the city.