Customer Segmentation & Clustering — Full BI Project
This project demonstrates a full end-to-end data analytics pipeline: from raw e-commerce customer data → ETL → clustering → star schema → advanced SQL (CTEs & window functions) → Power BI storytelling dashboard → interactive Streamlit web app → secure Flask REST API.
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Chapter 1 of 4 · The question
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This project demonstrates a full end-to-end data analytics pipeline: from raw e-commerce customer data → ETL → clustering → star schema → advanced SQL (CTEs & window functions) → Power BI storytelling dashboard → interactive Streamlit web app → secure Flask REST API.
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This project demonstrates a full end-to-end data analytics pipeline: from raw e-commerce customer data → ETL → clustering → star schema → advanced SQL (CTEs & window functions) → Power BI storytelling dashboard → interactive Streamlit web app → secure Flask REST API.
Current README excerpt
A complete, production-ready analytics project to segment customers, discover actionable clusters, and deliver insights through Power BI, a Streamlit web app, and a Flask REST API — all powered by an advanced PostgreSQL backend with CTEs and window functions.
A source excerpt, not an independently verified outcome.