Data Analyst focused on Customer Experience & Retention | SQL · Python · Tableau · Power BI | Voice of Customer, detractor analysis, churn modeling
I'm a data analyst focused on customer experience and retention. I build analyses that turn voice-of-customer signals into prioritized, cross-functional action — the work a CX operations team actually ships through.
Download ResumeDiagnosed customer experience friction across 100K orders and 78K reviews on a simulated marketplace. Built a SQL keyword taxonomy on 17,822 detractor complaints, quantified a 1.57x late-order detractor lift, flagged 12 logistics hotspot states and a 24-seller problem cohort, and packaged six owner-assigned recommendations for Logistics, Seller Quality, and Retention.
End-to-end analysis of 7,000+ telecom customer records to identify churn drivers and deliver data-backed retention recommendations. Built and compared logistic regression and random forest models achieving 80% accuracy, identifying contract type, tenure, and monthly charges as the top predictors of customer churn.
Analyzed 539K+ e-commerce transactions across 38 countries using SQL to uncover revenue patterns, customer concentration risk, and seasonal trends. Delivered four strategic business recommendations including international expansion targets and a wholesale account retention program.
Live dashboard analyzing federal hiring trends across thousands of active job postings. Visualizes posting volume over time, top hiring organizations, geographic distribution by state, salary ranges, and top job titles updated dynamically on each search query.