SQL, Python and Power BI project analysing SaaS churn drivers, revenue-at-risk and retention opportunities.
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Updated
Jun 23, 2026 - Jupyter Notebook
SQL, Python and Power BI project analysing SaaS churn drivers, revenue-at-risk and retention opportunities.
Revenue concentration intelligence and predictive churn modeling framework with quantified financial exposure impact.
End-to-end Customer Churn Analytics project using SQL, Python, Power BI, and DAX. Includes churn analysis, customer segmentation, revenue risk analysis, advanced churn intelligence, and an interactive 4-page Power BI dashboard.
End-to-end customer revenue concentration analysis for Contoso. Identified $78.7M in at-risk revenue and structural dependency across 87K+ customers using PostgreSQL.
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