Utilized Python, Pandas, and NumPy to preprocess and analyze customer data, identifying key factors contributing to churn.
Applied machine learning algorithms using scikit-learn to build predictive models, achieving an accuracy rate of 85% in forecasting customer churn.
Created visualizations using Matplotlib to present insights and trends to stakeholders, aiding in the development of targeted retention strategies.
Below is the screenshot of problem statement, code and its ouput & conclusion