Health Insurance Cross Sell Prediction

Avatar of Fauzan Heryka.
Avatar of Fauzan Heryka.

Health Insurance Cross Sell Prediction

Data Enthusiast | Data Analyst | Data Science | Business Intelligence | FreshGraduates Bachelor's Degree Business Administration
Surabaya, East Java, Indonesia
 

A summary is provided. Building a prediction model for customers who might switch from health insurance to auto insurance is the goal of my project. The optimal model, which successfully increased the conversion rate from 12% to 49%, used logistic regression with a 97% recall score. 

To view the Project in detail, please visit my GitHub.

Make a Business recomendation and Build prediction model for customer who potential convert from Health insurance to Car insurance. Result best model use logistic regression with recall score 97% and succesfully increase conversion rate from 12% to 49%.
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Published: Nov 8th 2023
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github
GitHub
python
Python

Business recomendation
Data analysis
Machine learning

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