Initial ML Risk Scoring – GCP (v1.0.0)

Initial release (v1.0.0) of the sanitized ML-Based Risk Scoring pipeline on GCP.

Includes:

• Full Batch/ETL ingestion design
• Feature engineering patterns
• BigQuery ML model training + scoring flows
• Governance (IAM, CMEK, data contracts)
• Lineage + auditability
• Runbooks for replay, backfill, rollback
• JSON data contracts for transactions + risk scores
• Diagrams (Architecture + Dataflow)
• Full docs-only repo structure with ADRs

No client code or sensitive data. Fully safe for portfolio and recruiters.