Telco Customer Churn

Telco Customer Churn

Customer churn is a customers stop using a service, either they don't need the service anymore or they change to another service provider. Acquiring a new customer is far more expensive than retaining the existing ones. Even an article says that "Acquiring a new customer can cost a business 5x more than retaining an existing one". Therefore, customer churn is a critical factor for sustaining long-term profitability.

In this project we will use historical data of certain telco company consisting of almost 5000 rows and 11 columns with column that state if the customer is churning or not. This project aim to identify current customers who's likely to churn by loking at historical data. A predictive solution leveraging data analytics and machine learning can help us to identify these at-risk customers and optimize promotional strategies.

The purpose of this project are to:

1. Analyze factors that influence a customer to churn
2. Make a machine learning model to predict whether a customer will churn or not
3. Deploy the corresponding model to cloud