Analyzing customer churn trends using Python (Pandas,NumPy, Seaborn, Matplotlib). Key insights: higher churn for senior citizens, month-to-month contracts, and electronic check payments. Recommendations include promoting long-term contracts and auto-pay. Insights available in the Jupyter Notebook! 🚀