Data-driven Credit Risk Analysis using MySQL (rule-based & explainable)
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Updated
Mar 8, 2026
Data-driven Credit Risk Analysis using MySQL (rule-based & explainable)
End-to-end Credit Risk Analytics project featuring PD modeling, risk segmentation, portfolio monitoring, SQL risk marts, and interactive Power BI dashboards.
"ML pipeline for customer churn prediction and risk segmentation using Python"
An End-to-end financial analytics project using SQL & Python to monitor loan performance, identify high-risk loans, and generate decision-ready insights. Demonstrates portfolio analysis, KPI development, and BI reporting aligned with industry-standard data analyst practices.
A regulated fintech platform enabling lending, remittance, and credit access across banked and unbanked segments. Integrates e-money issuance, Stellar-based cross-border remittances, prepaid cards, and hybrid credit scoring (CMAP + behavioral data), with embedded lending partnerships.
Customer Churn Analysis (SaaS Domain)
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