ANQI WANG

• Designed and implemented an AI-driven business intelligence system, integrating advanced data retrieval and analysis components (LLM, RAG, and NL2SQL), to automate statistical reporting and insight generation.
• Applied multidimensional attribution modeling using Adtributor, XGBoost, and SHAP to quantify and interpret the contribution of core business indicators, supporting the optimization of key performance metrics.
• Conducted time-series analysis and forecasting through ARIMA and Prophet models to predict business trends, track performance against annual targets, and present statistical insights to senior stakeholders.
• Established a unified statistical indicator framework for Alipay’s major business lines, developing over 20 management dashboards, and analytical reports used for strategic decision-making.
• Performed customer segmentation with K-means clustering to identify target user groups, enabling personalized marketing, and retention strategies.
• Designed controlled experiments and applied statistical inference (A/B testing, significance analysis) to evaluate product and advertising changes, improving ROI, and conversion efficiency.

• Developed advertising performance monitoring dashboards in Tableau to visualize key performance metrics, and support statistically informed advertising strategies.
• Utilized collaborative filtering algorithms to analyze user preferences and recommend ads, achieving a significant increase in click-through conversion rates, and a 30% reduction in user acquisition cost (CPA).
• Collected and validated multi-platform competitive data using cross-verification methods to provide timely statistical insights on emerging game trends.
• Designed a tracking system for operational data across different stages of gaming websites, producing evidence-based recommendations for product enhancements.
• Built a unified user identification and tracking framework, combining over 300 behavioral and demographic attributes, enabling cross-platform user behavior analysis.
• Led experiment design and evaluation through A/B testing, assessing the statistical significance of product iteration outcomes that drove a 20% growth in daily active users (DAU) and revenue.
• Conducted online sampling and offline survey studies, applying t-tests and other inferential statistical techniques to evaluate the effectiveness of advertising campaigns.
• Implemented a Python-based attribution model (Adtributor) to identify key factors influencing advertising traffic, generating daily analytical insights for marketing optimization.

Worked on-site at Tencent Video as a contractor.

• Developed interactive dashboards on internal BI platform for stakeholder presentations using data visualization tools.
• Collaborated with Products and Operations Teams to define data requirements and reporting specifications.
• Conducted data cleaning and validation with Hive SQL and Python, ensuring report accuracy.
• Analyzed large datasets to identify trends and patterns for Tencent Video App insights.
• Utilized Xgboost and LR model to predict user churn probability, assisting Operations Team in developing recall strategies.

• Applied statistical methodologies and predictive analytics to optimize corporate sales forecasting.
• Developed predictive models estimating monthly sales outcomes based on historical data and market indicators.
• Constructed target decomposition models translating business objectives into measurable team targets.
• Designed automated Excel dashboards for real-time data visualization and daily sales tracking.
• Evaluated search advertising keyword performance through analytical models, identifying revenue enhancement opportunities.
• Conducted advanced data analysis projects, including PCA and behavioral modeling, to improve marketing strategies.