garariya/SectionE_G-12_Banking_churn_prediction ? reverse-engineered prompt
Reverse engineered prompt
Build me a banking churn analysis project that helps identify why customers leave and what might keep them from churning.
I want the full workflow in place, starting with loading and cleaning the customer data, then exploring the main patterns, checking which factors seem tied to churn, and calculating simple business measures like churn rate and retention rate. Please include the notebook flow for the analysis, a script that prepares the data for reuse, and a polished Tableau dashboard that shows the main insights clearly for a business audience. The final output should feel like a complete portfolio project, with cleaned data, analysis notes, and a short report that explains the biggest churn risks and a few practical retention ideas. If you need to look up current docs or best practices for any tools, go ahead and do that.
Are you gonna build this?
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