Sou-786 / Ineuron-internship

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Customer Life Time Value prediction

Auto Insurance company is facing issues in retaining its customers and wants to advertise promotional offers for its loyal customers. They are considering CLV as a parameter to classify loyal customers.

Abstract

Predict the customer life-time value for an Auto Insurance Company. Its revenue will increase if the amount claimed by customers who have insured in the company is low. Bookish definition: CLV is the total revenue the client will derive from their entire relationship with a customer. CLV gives the marketers an intuition of market structures, financial planning and other future consequences. It helps marketers to find optimum marketing spending to acquire and retain customers.

Demo

Tableau Public

https://public.tableau.com/app/profile/soumit.kar/viz/CustomerValueAnalysisinAutoInsurance/BUSINESS

Coding

Documentation

Documentation

Optimizations

Minimize the number of fields.

Minimize the number of records

Optimize extracts to speed up future queries by materializing calculations, removing columns and the use of accelerated views

For More Details

https://github.com/Sou-786/Ineuron-internship/blob/main/CLV_HLD%20.docx.pdf

Architecture

https://github.com/Sou-786/Ineuron-internship/blob/main/Tableau_Architecture.docx

Wire Frame

https://github.com/Sou-786/Ineuron-internship/blob/main/wireframe%20documentation.pdf

Tool Used

python pandas numpy scikit_learn jupyter tableau

Authors

You tube Link

https://youtu.be/5JGC5f7LpxM

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Languages

Language:Jupyter Notebook 100.0%