Implemented RFM segmentation using Python, categorizing customers into five distinct groups based on recency, frequency, and monetary value.

Conducted segment profiling to identify high-engaging customers, uncovering behavioral patterns to optimize targeting strategies.

Improved campaign effectiveness by 15% through data-driven customer insights, enabling personalized marketing and increased engagement.