REVA HACK- 2021�Patron Augury

Team name: STARK

Team Leader: Sowmya Sree T

Team members: C Sri Sravya

                              Raksha R Y

Theme:

Customer churn prediction

Problem Statement

• Companies are working hard to survive in today’s competitive market as a result, increasing the cost of customer acquisition
• It is therefore essential for the service providers to prevent churn
• Churners are persons who move to other bank for various reasons
• The aim of Customer Churn Prediction Model is to detect customers with high tendency to leave a bank

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Necessity of the model

• Provide exceptional Customer service 
• Helps manage the direct loss of revenue
• Reduce the risk of business
• Detailed and graphical form of information helps improvement of service

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Sources used

Proposed Solution

•  We try to build a model that uses Random Forest Classification to identify the churn customers 

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• It also provides the factors behind the churning of customers in the banking sector

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Attributes used for analysis

Conclusion

• In future , the model can be further extended to explore the changing behavior patterns of churn customers by applying AI

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• We can also make an option for other banks to add data and various other attributes to this dataset for their churn analysis 

THANK YOU