16. End-to-End Project: Blinkit Maharashtra
Chala mitrano, aaj aapan full project — load → clean → EDA → viz → insights. Model nahi. Pune ops manager sathi written story. Ha chapter resume madhe dakhavayla layak aahe — honest fictional data label theva.
What you will learn in this chapter
- Build a reproducible notebook pipeline
- Clean a messy multi-city extract
- Produce EDA tables and two key charts
- Deliver written insights without ML
Fictional data
Blinkit / Amazon Now figures in this chapter are fictional sample data for learning only. They do not show real company numbers. People names are for practice; e-mails use example.com.
Concepts in this chapter
- 16.1Project Brief
- 16.2Create the Raw Extract (Lab Data)
- 16.3Clean
- 16.4EDA + Charts
- 16.5Insights Template (Fill With Your Numbers)
The chapter recap is at the end of the last concept page.