●Macroeconomic Research: Independently wrote a 25 pages futures market analysis aritcle "Futures Major Events: Inside the Event" based on the macroeconomic-driving logic framework, released in the company's official column after being guided by the mentor.●Reports & Strategies: Optimized weekly futures optimal strategy by python and completed weekly reports; Organized and classified 300+ data indicators, built a daily auto-updating database and chart library by Excel and designed the daily report formally used.●Roadshow Support: Collected futures information and macroeconomic data from domestic and international official websites, Bloomberg, Wind; Built databases and visualized data, assisting 10+ PPT presentations and enhancing information delivery.

●Data Analysis: Organized and cleaned a 47M+ dataset using Python and Excel with the Apriori algorithm; Visualized acquired data.●Knowledge Graph: Created knowledge graphs using Neo4j for developing evaluation systems across 3 industries: Automotive, Financial Insurance, and Chain Restaurants, supporting the assessment and analysis of over 20 industry metrics.

●Text Mining: Conducted sentiment analysis on network comments across various platforms using the BERT model; Produced monthly reports on both data-driven recommendations for marketing strategies and public opinion trends for museum to adjust in time.●Social Media Management: Operated Xiaohongshu platform with both photos and articles; Conducted data-driven content strategy; Achieved impressive results with one article garnering over 80,000 views and accumulating 1,000+ likes and comments.