Customer Segmentation & Revenue Analytics
A completed summer team project analyzing customer transactions, revenue trends, purchasing behavior, and retention indicators.
Problem
The project explored how customer purchasing behavior and seasonal demand patterns could inform customer segmentation and revenue analysis.
Team role
I contributed to a team analytics project using Python, pandas, and NumPy.
Analysis
Our team applied recency, frequency, and monetary value (RFM) scoring and seasonal revenue analysis to transactional and customer data, including retention indicators.
Result
Completed the analysis in August 2026, identifying high-value customer segments and category demand patterns. No measured business impact is claimed.
Tools
Python, pandas, NumPy, RFM scoring, and seasonal revenue analysis.