Automated Credit Scoring and Risk Assessment Engine

Develop a PostgreSQL-based credit scoring system that integrates multiple data sources to generate comprehensive risk profiles. Create a multi-stage assessment algorithm that combines traditional credit metrics with alternative data sources like social media, professional networks, and transaction history. Implement machine learning models that can dynamically adjust risk scoring based on emerging patterns, with built-in explainability and compliance tracking.