End-to-end credit risk modeling workflow for probability calibration, temporal validation, and business-aligned risk segmentation.
Data-driven Credit Risk Analysis using MySQL (rule-based & explainable)
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.
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"
SQL- und Python-basierte Analyse von Kreditrisiken mit Fokus auf Risikosegmentierung, Ausfallwahrscheinlichkeit und datengetriebene Handlungsempfehlungen.
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)
People analytics pipeline analysing 1,470 IBM employees, identifying Sales Rep attrition at 39.8% and segmenting 264 high risk active employees by composite flight risk score.
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