Responsible for handling various requests from the Customer Success team, including providing required data, analyzing trends in data, identifying reasons for known errors, and performing FTC (full trend coding) on the company's internal coding platform.Utilizing Python to fulfill data processing requirements, I write efficient Python scripts based on specific needs to generate the required data outputs.I monitor fluctuations in data and oversee monthly pre-alert activities. This involves identifying products with significant changes in metrics such as sales volume or revenue each month and determining potential causes for these variations.

Analyze education industry data and Xueduoduo product data, dig out user buying behavior patterns and association rules to provide decision support for new product design and optimization.Built user portraits, analyzed consumption characteristics of different types of users in depth, and provided marketing strategy recommendations to increase conversion rate by 15%.Monitor product sales data and user feedback data. Build prediction models using machine learning techniques to estimate the sales potential and customer satisfaction of new products and reduce business decision risks.Worked closely with product managers and operations teams to provide data analysis reports and business consulting to help companies develop precise product promotion plans. Reduced user acquisition costs by 20%.