Extracted and calculated the statistics required for daily operation monitoring in SQL, and improved operational efficiency by 70%.Applied Random Forest machine learning model in Python with training on user reversion rate features and identified the top five features accordingly. Presented business insights and strategized the marketing campaign to improve user reversion rate by 10%.

Accumulated data on 127 credit card products of NPL-ABS and personal mortgage NPL-ABS, updated company's ABS product database in Excel, and completed a 50-page market review and forecast analysis report.Conducted due diligence on target companies, collected information about target companies, and summarized highlights of steel industry, supply chain finance, logistics, and real estate industry.

Gathered local industry information of government-industry fund; completed draft of fund plan; accomplished preliminary industry analysis and due diligence.Collected project materials such as due diligence reports and contracts of established funds.

Provided support for company's new self-operated asset management products: accumulated information on more than 100 index-enhanced public funds through; researched development of domestic and foreign commodity index-tracking funds and tracked approval progress of commodity index fund in China.Summarized important news that occurred in overnight market before opening of market to provide references for management of asset management products.