https://github.com/analyst-amitbisht/shield-insurance-analysis
https://github.com/analyst-amitbisht/shield-insurance-analysis
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/analyst-amitbisht/shield-insurance-analysis
- Owner: analyst-amitbisht
- Created: 2025-01-21T13:44:57.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-21T14:17:52.000Z (4 months ago)
- Last Synced: 2025-01-31T12:17:12.881Z (4 months ago)
- Size: 9.14 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Shield-Insurance-Analysis
As a Data Analyst Intern at AtliQ Technologies, I analyzed Shield Insurance's sales data to identify growth opportunities. Using Power Query & SQL, I applied customer segmentation, statistical analysis, and data visualization to uncover key insights that drove business impact:
a. Targeted Growth: Segmented customers by demographics, identifying the 31-40 age group as high-value, leading to a 15% increase in this segment through targeted campaigns.
b. Online Sales Boost: Analyzed online sales data and provided recommendations to enhance customer experience, contributing to a 10% increase in online sales.
c. Product Innovation: Identified a correlation between age and policy preferences, contributing to the development of a new product for the 31-40 age group that generated $50 million in revenue.
d. Risk Reduction: Analyzed settlement rates across age groups, informing risk assessment strategies that led to a 5% reduction in claim payouts.
e. Regional Focus: Identified Delhi NCR and Mumbai as high-performing cities, recommending focused efforts that resulted in a 12% increase in leads.
This project honed my analytical skills, data-driven decision-making, and business intelligence knowledge, allowing me to extract meaningful insights from data and contribute to strategic planning and business objectives.