Projects

Customer Retention & Revenue Analysis | SQL, Tableau

Analyzed retail transaction data to evaluate customer retention patterns, revenue concentration, and geographic demand trends.
Wrote SQL queries to calculate KPIs including total revenue, repeat customer share, average order value, and revenue by market.
Built an interactive Tableau dashboard visualizing customer segmentation, category performance, and marketplace demand patterns.
Identified revenue concentration among a small segment of high-value customers and highlighted opportunities to improve retention and targeted marketing.
Developed business recommendations to improve customer retention strategies and optimize category-level revenue growth.

Cleaned, standardized, and analyzed large datasets using Python and R.
Implemented k-means clustering, interpreted cluster results, and validated findings.
Demonstrated skills in data preprocessing, model evaluation, and business interpretation.