Machine Learning Credit Scoring Time-Series Database

Design a specialized time-series database using InfluxDB and Node.js for storing and analyzing machine learning-driven credit scoring models. Create a schema that can efficiently store millions of credit profile transformations, support complex temporal queries, and enable real-time model retraining. Implement a multi-dimensional indexing strategy that allows rapid retrieval of historical credit behavior across different demographic segments.