End-to-end data projects spanning healthcare, e-commerce, streaming, gaming, and compliance.
Analyzed 2,368 census tracts across NYC to reveal that income — not facility access — drives health disparities. The Bronx has the most facilities per capita (6.7 per 100K) yet the worst diabetes rate (14.2%). Segmented neighborhoods into four actionable health profiles for targeted investment using regression, clustering, and time series analysis.
Analyzing user conversion and retention patterns to identify drop-off points and optimize the subscription funnel for a digital product.
Analyzed 145 productions and 47,500+ weekly records across 25 years to quantify Tony Award marketing ROI (38% revenue lift, p < 0.001), identify longevity predictors, and evaluate production type risk-return profiles. Built a normalized relational database and developed 18 analytical queries with statistical validation.
Forecasted seasonal staffing demand across 50 states using a population-based risk model (R² = 0.88), integrating CDC mortality and demographic data. Delivered a Tableau decision dashboard enabling proactive workforce planning 1–2 months ahead of peak flu season.
Wrote complex SQL (JOINs, CTEs, window functions) across a 15-table relational database to calculate customer lifetime value and prioritize markets across 108 countries. Developed a phased rollout strategy with Tableau dashboards.
Cleaned and analyzed 32.4M records across 206K customers to build a segmentation framework identifying high-value personas and revenue patterns. Produced 27 visualizations and marketing recommendations for ad spend optimization, targeting, and cross-sell strategy.
Analyzed 16,598 video game titles across global markets to identify regional demand patterns and genre preferences. Discovered Europe overtook North America by 2016 (37.7% vs. 31.9%), enabling data-backed budget allocation recommendations.
Applied analytics for compliance, forecasting, and ethical decision-making. Designed bias-free AML alert logic using behavioral thresholds that removed 6.8x demographic bias. Modeled trends and seasonality for proactive staffing.
Open to Data Analyst and Business Intelligence roles, with deep domain experience in healthcare, education, and data-driven decision making.
© 2026 Jessica Duong. Built with care.