This project focuses on analyzing customer data to understand churn behavior and build a machine learning model to predict churn probability.
- Python
- Pandas, NumPy
- Scikit-learn
- SQL
- Power BI
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Feature selection
- Churn prediction using machine learning
- Visualization using Power BI
- Performed exploratory data analysis and feature engineering
- Built a churn prediction model
- Wrote SQL queries for churn insights
- Designed a Power BI dashboard
- Importance of data preprocessing
- Understanding churn metrics
- Translating data insights into business decisions