Jerry(Xingyu) Qu

• Devised and implemented a comprehensive digital marketing strategy for a nationwide auto sales company, utilizing SQL queries and Tableau dashboards for sophisticated customer segmentation, which led to personalized marketing campaigns, boosting sales and conversion rates by 8% • Led A/B testing on email campaigns, using Python for randomization and SQL for performance analysis, which improved open rates by 13% and reduced unsubscribe rates by 6%. Visualized results with Tableau to drive actionable insights • Conducted rigorous data validation on 500,000+ records, reducing decision-making errors • Constructed and managed a robust email marketing database of over 200,000 records, driving consistent growth and fostering deeper customer relationships

• Formulated a credit scoring model leveraging logistic regression to analyze factors like credit history, debt ratio, income, open credit lines, and past delinquencies, enhancing risk assessment accuracy(~5%) • Refined the model by integrating interaction effects and multinomial transformations, capturing intricate dynamics among credit risk variables more effectively(~6%) • Executed comprehensive training and validation on a dataset exceeding 100,000 customers, attaining an AUC-ROC of 0.85, significantly boosting the model's predictive capability

• Conducted comprehensive market research and due diligence on potential investment opportunities, resulted in the successful completion of a ten million RMB Series A+ round of financing from Source Capital • Summarized product reports of startup companies and presented them to the investment committee, led to the successful introduction of project "Bee Love Technology", achieved the pre-seed round of financing • Collaborated with team members to draft the investment letter of intent, responsible for the list of terms and conditions section, and worked with the company to determine the various terms

• Utilized multinomial regression in R to dissect data from over 1,200 customers, pinpointing regional demand for home security systems. This strategic analysis optimized sales channels, cutting inventory costs by 14% and boosting quarter-over-quarter sales by 9%