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Comprehensive EDA Portfolio showcasing data analysis expertise across diverse domains including e-commerce, healthcare, real estate, retail, and finance. This repository demonstrates proficiency in Python, data visualization, statistical analysis, and business intelligence using real-world datasets from Kaggle.

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EDA

EDA Portfolio: Data Analyst Projects

Amazon Sales Report

Analyzed sales data to uncover trends in product performance, seasonal variations, and customer preferences.

Key Insights:

  • Identified top-performing product categories with 15% revenue growth potential
  • Uncovered seasonal demand patterns for optimized inventory management
  • Recommended targeted marketing strategies for underperforming segments

Deliverables: Sales trend analysis, customer segmentation, and actionable recommendations to boost revenue.


Healthcare Data Analysis

Examined healthcare datasets to improve patient outcomes, optimize resource allocation, and identify areas for cost reduction.

Key Insights:

  • Analyzed patient demographics and treatment patterns
  • Identified bottlenecks in patient flow, reducing wait times by 12%
  • Highlighted cost drivers and proposed efficiency improvements

Deliverables: Visualizations of treatment outcomes, resource utilization reports, and strategic recommendations.


NYC Airbnb Data Analysis

Explored Airbnb listing data to identify pricing trends, popular neighborhoods, and factors influencing booking rates.

Key Insights:

  • Determined optimal pricing strategies based on location and amenities
  • Analyzed seasonal demand fluctuations across boroughs
  • Provided insights for hosts to maximize occupancy rates and revenue

Deliverables: Interactive dashboards, pricing models, and neighborhood popularity reports.


Online Retail Data EDA

Performed in-depth analysis of online retail transactions to understand customer behavior, product preferences, and sales patterns.

Key Insights:

  • Segmented customers based on purchasing behavior and lifetime value
  • Identified top-selling products and seasonal sales spikes
  • Recommended retention strategies to reduce churn by 10%

Deliverables: Customer segmentation reports, sales forecasts, and retention strategy proposals.


Personal Loan Modeling

Analyzed loan application data to identify patterns in loan approval, default risks, and customer profiling.

Key Insights:

  • Built predictive models to assess loan default risk
  • Identified key factors influencing loan approval decisions
  • Segmented customers for targeted loan products

Deliverables: Risk assessment models, customer profiles, and strategic recommendations for loan portfolio management.

License

This project is licensed under the MIT License

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Comprehensive EDA Portfolio showcasing data analysis expertise across diverse domains including e-commerce, healthcare, real estate, retail, and finance. This repository demonstrates proficiency in Python, data visualization, statistical analysis, and business intelligence using real-world datasets from Kaggle.

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