
AI-Powered Customer Purchase Analysis
Role: Software Developer
Developed a retail analytics system to enhance customer experience by identifying purchasing patterns, segmenting customers, and recommending products using machine learning.
Highlights
- Built a K-means clustering model to group customers into actionable segments like "High Spenders" and "Frequent Buyers".
- Designed a hybrid recommendation system combining collaborative filtering and segment-based popularity.
- Generated a PDF report with insights, visualizations, and methodology for stakeholders.