Developed a data-driven media placement strategy targeting high-end female consumers, leveraging insights from consumption behavior analysis to refine the campaign approach and enhance user engagement.Implemented Gradient Boosting Trees and Recursive Feature Elimination method in the KOL Traffic Placement Project to optimize the selection and positioning of key opinion leaders, boosting the internal project margin by 10%.Applied SQL queries for data acquisition and cleansing, extracting key performance indicators like display numbers, click-through, and conversion rates for client's ad placements.Managed MMS/SMS/TM/Service number content planning & creation in "Porsche 75th Anniversary Dream Carnival" project, increasing the conversion rate of the car owner activities by 20%.Collaborated with cross-functional teams to design and execute the "Sweet Secret Forest" pop-up store in Sweet Bean Themed BOCOM Credit Card project, attracting over 6,900 visitors to and converting 555 users into cardholders.Spearheaded the marketing campaign for the launch of BOCOM Starbucks-themed credit card, integrating cross-channel promotion to boost brand visibility by 40%.Collaborated with cross-functional teams to implement an A/B testing framework to optimize the customer journey in credit card promotion, reducing churn by 15% and boosting card application rates by 10%.

Contributed to Dawangshan Cross-River Bridge's design using Revit for BIM modeling.Optimized road design through traffic and water flow simulations using HydroCAD.

Participated in the development and optimization of a multi-factor stock selection model, enhancing investment strategy effectiveness and model precision.Employed Python for comprehensive data compilation and analysis of the A-share market's macroeconomic indicators on a monthly and quarterly basis, enhancing market prediction accuracy.Combined ARIMA, Prophet, and LSTM models to create a robust analytical framework, achieving a 92% accuracy and 87% recall on the validation dataset.Conducted in-depth weekly sales data aggregation, cleaning, and mining, providing vital insights into supply chain management, inventory levels, and sales forecasting.