Doris Yang

• Analyzed 12,000+ e-commerce sessions to identify key drivers of purchase conversion and user behavior patterns
• Built predictive models (XGBoost, LightGBM) to estimate conversion likelihood (AUC > 0.90)
• Generated data-driven insights to optimize marketing strategy, improve conversion rates, and increase revenue efficiency

• Integrated multi-source datasets (CDC, Census, ACLU, survey data) to analyze relationships between policy environment, public spending, and behavioral outcomes across U.S. states
• Conducted comparative analysis of state-level policies to identify structural drivers affecting vulnerable populations
• Generated data-driven insights and developed a dashboard (ESRI/Figma) to support policy evaluation and stakeholder decision-making

• Assessed the impact of monetization strategies on user trust, engagement, and platform performance
• Analyzed key drivers of user experience (e.g., ad density, transparency, creator credibility) to evaluate trade-offs
• Developed data-driven recommendations to improve monetization efficiency, enhance user trust, and optimize platform growth

• Evaluated platform commercialization strategies through user segmentation, product penetration, and growth analysis
• Conducted cross-industry market and competitor research to identify emerging trends and strategic opportunities
• Identified user behavior patterns and conversion differences across content formats to support growth optimization

• Conducted healthcare market and policy analysis to evaluate industry trends, R&D pipelines, and competitive landscape
• Built valuation models in Excel analyzing 12+ biotech and medical device firms
• Co-developed industry research reports to support data-driven investment decisions