Project 2 - EDA on Vehicle Insurance Customer Data

Project Title: Exploratory Data Analysis on Vehicle Insurance Customer Data using Python

Description:

The objective of this project was to perform Exploratory Data Analysis (EDA) on a dataset containing information about vehicle insurance customers. The dataset consisted of several variables, including customer demographics, policy details, claim details, and vehicle details. The primary goal was to analyze the data and gain insights into customer behavior, identify trends, and develop a predictive model that can be used to improve customer satisfaction and reduce the risk of insurance claims.

Tools and Technologies used:

• Python Programming Language
• Pandas, NumPy, Matplotlib libraries
• Jupyter Notebook

Outcome: The project resulted in several key insights into the customer behavior and risk factors for insurance claims. A predictive model was developed that could accurately predict whether a customer would make an insurance claim or not. The results of the project could be used by insurance companies to improve their risk assessment and customer satisfaction strategies.