Record Quality Pipeline
Turn a dirty customer CSV into validated, logged output: coerce types, quarantine bad rows, emit a JSON quality report — packaged, tested, and logged like production code.
What You Will Ship to GitHub
Hiring managers don't want to see another cookie-cutter Titanic or Iris tutorial. You will build a professional repository with modular scripts and executive business memos that demonstrate commercial analytical maturity.
What You Will Master
4 Guided Project Milestones
Scaffold + fixture landing
Package layout, dirty-CSV fixture, README skeleton.
Coerce + validate
cleaners.py with coerce/validate per the M2/OOP lessons; pytest green.
Quarantine + quality report
Core MilestoneBad rows to quarantine.jsonl; report.json counts by defect; logging.
CLI + findings note
argparse CLI, demo run, portfolio README.
ATS Keywords & Resume Ready Bullets
"Authored an end-to-end data analytics project on Record Quality Pipeline utilizing Python, pytest, stdlib logging — delivered production-grade queries, cohort distributions, and an executive stakeholder summary published as a portfolio GitHub repository."
Reading & References
Ready to build and ship Record Quality Pipeline?
Instant access to cloud database credentials, milestones, and starter queries.
Free Record Quality Pipeline portfolio project — with AI review
Build a real record quality pipeline project for your data analyst portfolio in your own public GitHub repo — free brief, starter template, and milestone guides. When your code is ready, the ₹99 pass gets every milestone reviewed against a fixed rubric (de python quality pipeline walkthrough included) and issues a verifiable certificate on completion.
Is the Record Quality Pipeline project free?
The full project brief, milestone guides, and starter template are free to audit. The AI-powered review pass and verified certificate unlock at ₹99.
Can I add the Record Quality Pipeline project to my resume and GitHub?
Yes — that is the point. You build in your own public GitHub repo, every milestone is reviewed against a fixed rubric, and the certificate links to the repo employers can inspect. Only list what is visible in your repo.
How long does the Record Quality Pipeline project take?
Most students finish the 4 milestones in 2–4 weekends. Milestones unlock in order, and you can re-submit any milestone that needs work.
Build your portfolio & get certified
Want more projects like this? Join our Data Analyst Work Experience Program to complete 5+ guided industry projects, gain real experience, and earn an internship certificate.