📊 Data Analysis Projects Repository

📌 Overview

This repository contains multiple end-to-end Data Analysis projects developed using Python and Jupyter Notebook (Google Colab). Each project focuses on real-world datasets and demonstrates the complete data analysis workflow including data cleaning, exploratory data analysis (EDA), visualization, and insights generation.

These projects showcase my skills in Python-based data analysis, problem-solving, and the ability to extract meaningful business insights from raw data.

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🛠️ Tools & Technologies Used

• Programming Language: Python

• IDE / Platform: Jupyter Notebook, Google Colab

• Libraries:

  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn

• Version Control: Git & GitHub.

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📂 Projects Included

1️⃣ Amazon Sales Analysis Project

📄 Amazon Sales Project (1).ipynb

Description: Analyzed Amazon sales data to identify trends, revenue patterns, and product performance.

Key Highlights:

• Data cleaning and preprocessing
• Monthly and yearly sales trend analysis
• Category-wise and product-wise performance
• Revenue insights using visualizations

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2️⃣ Birds Strike Analysis Project

📄 Birds Strike Analysis Project.ipynb

Description: Performed analysis on bird strike incidents to understand risk factors and frequency patterns.

Key Highlights:

• Analysis based on time, location, and aircraft type
• Identification of high-risk zones
• Visualization of incident trends
• Insights useful for aviation safety planning

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3️⃣ Crop Production Analysis Project

📄 Crop Production Analysis Project.ipynb

Description: Analyzed crop production data to study agricultural output trends across different regions and years.

Key Highlights:

• State-wise and crop-wise production analysis
• Trend analysis over multiple years
• Comparison of crop yields