Case Study
Customer Segmentation RFM & K-Means Machine Learning
2024/Personal Project
A comprehensive web application designed to analyze customer behavior through the RFM model and K-Means clustering.
Machine LearningData ScienceWeb AppPython
What I Worked On
My Responsibilities
LA
System Architecture Design
Designed a full-stack architecture bridging a Next.js frontend with a Flask ML backend.
BR
ML Pipeline & Clustering
Developed K-Means clustering with Scikit-Learn based on normalized RFM metrics.
SE
REST API Development
Built a Flask API to serve analysis results and segmentation metrics.
BA
Data Visualization & UI
Created a responsive dashboard for dataset upload and segmentation visualization.
Stack & Links
Built With
Tools, frameworks, and platforms used to ship this project.
Screenshots
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