andikarachman/data-science-plugin

andikarachman/data-science-plugin

Command

Extract and categorize learnings from completed experiments into docs/ds/learnings/ for future retrieval.

andikarachman/data-science-plugin

Command

Profile a dataset for structure, quality, distributions, and anomalies, then output an EDA report.

andikarachman/data-science-plugin

Command

Design an ML experiment with hypothesis, split strategy, leakage check, and evaluation plan.

andikarachman/data-science-plugin

Command

Frame a data science problem and plan the approach, surfacing relevant past learnings.

andikarachman/data-science-plugin

Command

Clean, validate, and transform raw data using automated preprocessing pipelines.

andikarachman/data-science-plugin

Command

Peer review an ML experiment for methodology, leakage, reproducibility, and statistical validity.

andikarachman/data-science-plugin

Command

Assess deployment readiness of a trained model and generate model card and deployment documentation.

andikarachman/data-science-plugin

Command

Run data quality validation using formal expectation suites, dbt tests, or data contracts.