Specialized and Strategic Analysis: Developed a metric system involving 30+ indicators such as channels, city of origin, search behavior, and download behavior to analyze membership renewal rates. Identified problems between non-members and members, proposing 5+ actionable strategies, and producing visualization reports.User Segmentation: Clustered users into five groups using K-means based on 10+ related indicators like user click behavior and coupon usage. Improved incremental GMV by 3% while ensuring an ROI of 3.5 through A/B testing data analysis.Market Analysis: Conducted market research based on client industries, summarizing market conditions and competitor situations using SWOT analysis, identifying potential pain points and growth opportunities, and writing analysis reports to support business development.Web Scraping: Used Python to scrape data from 20+ webpages for clients in the self-storage industry, ensuring data accuracy and completeness.Data Modeling: Guided the team in a Kaggle data competition, applying data mining and feature engineering to analyze data, achieving top 3% global ranking using various machine learning and deep learning methods.

Metric Optimization & Automated Reporting: Developed and optimized the metric system for Datong’s e-commerce business, creating 10+ automated Tableau reports tracking metrics trends, including DAU, MAU, GMV, conversion rates, average order value, and purchase frequency.Anomaly Monitoring: Attributed changes in major metrics using KL divergence and JS divergence methods, quantifying the contribution of anomalous metrics to the overall trend, reducing investigation time by 50%.User Growth & Retention: Implemented SMS recall strategies for users who had not made purchases in 61-150 days, using marketing gain models to predict coupon issuance. Analyzed optimal coupon types for different user segments through A/B testing, tracking and adjusting recall strategies, resulting in an average annual GMV increase of 1.25% while maintaining an ROI of 2.8%.User Profiling: Gained deep insights into user needs, mapped user behavior paths, maintained user label systems, and covered scenarios including user acquisition, activation, engagement, and retention.