Shanjiahui (Sandra) Ding
About Shanjiahui (Sandra) Ding
Shanjiahui (Sandra) Ding is a Data Analyst with a Master of Science in Information Management from Syracuse University. She specializes in query tuning, data modeling, and data mining, and has worked at Spokeo since 2018.
Work at Spokeo
Shanjiahui (Sandra) Ding has been employed at Spokeo as a Data Analyst since 2018. In this role, she focuses on analyzing large-scale datasets and improving data processes. Her expertise in query tuning and data modeling contributes to Spokeo's data-driven decision-making. She operates within the Greater Los Angeles Area, where she applies her analytical skills to enhance the company's data capabilities.
Education and Expertise
Sandra Ding holds a Master of Science (M.S.) in Information Management from Syracuse University. She also earned a Bachelor's Degree in E-Commerce Engineering with Law from Beijing University of Posts and Telecommunications. Her educational background equips her with a solid foundation in data analysis, particularly in query tuning, data modeling, and data mining.
Previous Experience
Before joining Spokeo, Sandra worked at Accenture as a Data Analyst for seven months in 2018, where she gained experience in data analysis within a consulting environment. She also served as an IT Applications Associate at Prada from 2017 to 2018, contributing to IT solutions in a retail context. Additionally, she completed a Data Engineer Internship at Lawnmower in 2016, where she focused on Bitcoin and blockchain data.
Technical Skills
Sandra Ding is proficient in SQL, Python, and R, which she utilizes for quantitative and statistical analysis. Her technical skills extend to using ETL tools for data analysis, enabling her to efficiently manage and analyze large datasets. This proficiency supports her role as a Data Analyst, allowing her to derive insights from complex data structures.