IshikaJain1008/Banking-Customer-Retention-Analytics ? reverse-engineered prompt

Build me a banking customer retention analytics project that shows why customers are churning and what the business can do about it.

I want a Python notebook for cleaning the data, exploring the main customer patterns, and finding the biggest churn drivers using common charts and simple analysis. Then create an interactive Power BI dashboard that gives a quick business view of the results, with key numbers like total customers, churn rate, average age, and average balance, plus breakdowns by geography, gender, active membership, credit card ownership, credit score, age, and tenure.

Make it feel like a real retail banking case study, with clear insights and a few plain language takeaways that would help a retention team make decisions. If you need to look up current docs online for anything, feel free to do that.