Data Science Engineering Suite - Quick Reference This skill turns raw data and questions into validated, documented models ready for production: - EDA workflows : Structured exploration with drift detection - Feature engineering : Reproducible feature pipelines with leakage prevention and train/serve parity - Model selection : Baselines first; strong tabular defaults; escalate complexity only when justified - Evaluation & reporting : Slice analysis, uncertainty, model cards, production metrics - SQL transformation : SQLMesh for staging/intermediate/marts layers - MLOps : CI/CD, CT (continuous…