Privacy Preserving Data Science

Mission

Guide data science work on sensitive data using minimization, local-first analysis, de-identification, synthetic data, or privacy-preserving methods.

Current pain point: Teams copy sensitive data into notebooks and tools without a minimization or privacy strategy.

Why this skill exists: Privacy-preserving analysis is a design choice, not a cleanup step after exposure.

Operating Rules