Utilized AI Outbound to conduct user review, collected evaluation feedback scenarios, judged whether merchants have induced positive feedback based on fraud detection logic, and targeted penalties to maintain the platform's credibilityImproved the recognition model by gathering corpus feedback from users, and enhanced the information collection efficiency and penalty accuracy of AI Outbound to address the problem of speech recognition and insufficient fraud detection rateExtracted data such as monthly user experience, number of violation promotions, and monthly penalty rate of the high-risk merchants using SQL, and created a dashboard to monitor the risk of merchant violations

Worked on the underwriting of bonds, drafted pricing reports for bond issues according to the market and comparable bonds, delivered appropriate pricing strategies, and assisted in the documentation for bond subscriptionsInterpreted capital market trends and macroeconomic environment based on primary and secondary market dynamics, compiled weekly and monthly reports, and forecasted future market trajectories

Established two differentiated ways forward, meeting Chinese consumption tradition and generating continual freshment, based on middle-class consumer bahavior reports and core user surveys and provided solid strategies on commodities, such as natural wine for healthy lifestyle, large-scale potted plants for hierarchical demands and outdoor gear for one-stop shoppingSurvived target users for the consumer churn and decreasing purchase frequency induced by Covid 19 and concluded several to-be-improved: limited delivery service, relatively less new arrivals than competitors and lack of hook productsApplied SPSS cross-tabulation to structure survey data, tracked monthly indicators of the Freshippo X Membership Store according to different customer groups, as well as drafted monthly reports and thematic analyses

Created word clouds according to customer feedback, mapped customer profile of Coca-Cola's oat milk latte based on customer perception and online consumption behaviors, and investigated its optimal consumption scenarios, target groups and development opportunitiesUtilized time series data to detect anomalies and forecast the development of cosmetics products of Sephora, through considering changes in brand ambassadors, new product launches and membership day events