An EDA and Unsupervised Learning pipeline using KMeans clustering to segment household demographics into Rural and Urban categories based on transaction behavior and spending patterns.
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Updated
Aug 24, 2025 - Jupyter Notebook
An EDA and Unsupervised Learning pipeline using KMeans clustering to segment household demographics into Rural and Urban categories based on transaction behavior and spending patterns.
End-to-end retail customer behavior analysis using Python, PostgreSQL, SQL, and Power BI to generate actionable business insights and recommendations.
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