I help e-commerce businesses understand their customers and sales performance using structured analysis techniques such as RFM segmentation and behavioral analysis.

This work focuses on identifying customer groups, purchasing patterns, and revenue drivers so businesses can improve retention, targeting, and overall sales performance.

Typical work includes:

Customer segmentation using RFM (Recency, Frequency, Monetary) methods

Analysis of repeat customers, churn risk, and high-value segments

Sales performance breakdown by product, category, or time period

Cohort-style retention analysis

SQL-based data extraction and Python-based analysis workflows

Simple dashboards or reports for decision-making

The goal is to turn customer and sales data into clear segments and actionable insights that support marketing and retention decisions.