Machine Learning Credit Scoring Pipeline

Design a type-safe TypeScript machine learning pipeline for automated credit scoring that integrates multiple data sources, handles complex feature engineering, and supports multiple ML model architectures. Implement strict type definitions for financial data schemas, create a modular architecture for model training and inference, and include advanced error handling for data inconsistencies. Support both traditional statistical models and neural network approaches.