# Data-science career and capstone evidence lab

Run `python career_cases.py` from the repository root. The lab uses invented project briefs, confusion counts, role descriptions, readiness evidence and capstone questions. It contains no learner records, hiring outcomes, scraped vacancies or salary data.

The verifier covers all twenty NP-0501–NP-0520 topics. Each case produces a reviewable decision or artifact: a project brief, tutorial-gap audit, validation explanation, leakage diagnosis, cost calculation, failed-experiment record, viva pack, resume claim, role comparison, course evidence gate, readiness diagnostic, revision plan, transition map, honest failure narrative, job-description reading, portfolio index, specialization choice or capstone defence plan.

The output demonstrates internal consistency on authored fixtures. It does not establish employer preferences, interview success, job placement or the superiority of a course. Human review remains pending.