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Shield-Insurance

This Project is part of data analytics virtual internship at codebasics.

##Video Presentation Link: Click here

This repository contains the code, datasets, and insights derived from the analysis conducted for Shield Insurance, an imaginary company. The analysis was carried out as part of the #codebasicsvirtualinternship program at AtliQ Technologies.

Project Overview

The goal of this project was to analyze Shield Insurance's operational data and provide insights to facilitate data-driven decisions. The project involved creating an interactive dashboard using Microsoft Power BI based on the provided dataset.

Insights & Recommendations

Insights

  • March 2023 Performance: Observed the highest revenue and customer acquisition.
  • City-Wise Dominance: Delhi NCR emerged as the leading city in revenue and customers.
  • Key Age Group Influence: The 31-40 age group significantly contributed to revenue and customers.

Recommendations

  • March Analysis: Investigate factors driving exceptional March performance.
  • City-Wise Strategies: Implement successful tactics from Delhi NCR across other cities.
  • Age-Group Tailored Approaches: Develop customized strategies for the influential 31-40 age group.

Dashboard Access

Access the live Power BI dashboard: Click Here

Tools Used

  • Microsoft Power BI
  • Microsoft Power Point

Acknowledgments

I extend my gratitude to Dhaval Patel, Hemanand Vadivel, and the Codebasics team for their guidance and support throughout this internship.

Your feedback is highly appreciated!

Thank you for visiting this repository!

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