Customer Churn Prediction using Data Science
B KUMARI, TUMMALA VINAYA PRASAD
Assistant professor, MCA Final Semester, Master of Computer Applications, Sanketika Vidya Parishad Engineering College,
Vishakhapatnam, Andhra Pradesh, India.
ABSTRACT:
The project deals with building a machine learning model to find customer churn. It is used in various kinds of marketing strategy. Customer churn is a big problem and it is one of the important concern for large tech companies due to the straight effect on the revenues of those companies. Due to increase in the use of internet large e-commerce and online selling business, it will be most important to find an unlike customer. A company will not spend the advertisement budget target to individual who are unlikely to comeback instead of finding who are coming back and buying products, so the company will be improving the sales and profit. Here we develop machine learning models to predict and identify those loyal customers. Hence, we can spend advertisements only on particular customers to improve company growth in the future. It is mostly useful in subscription based business.
Key words: Data Preprocessing, Data Analysis, Predict customer churn.
