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Global-Wildfire-Analysis-Modeling

Global Wildfire Analysis & Modeling merges NASA FIRMS fire data and Open-Meteo weather, assigning fires to countries. Visualize top fire locations, map brightness, and model intensity with Random Forest. Ideal for scientists, policymakers, and environmentalists. Extend with historical data or deep learning approaches for informed decisions.

Hi there, I'm Vijay Kumar! 👋

Welcome to my GitHub profile! I'm passionate about data analysis, visualization, and leveraging technology to create impactful solutions. With a strong interest in digital transformation and cutting-edge technology, I aim to make a difference in healthcare, retail, and community-focused projects.

🛠️ Skills & Tools

Data Analysis & Visualization:

  • Python (Pandas, NumPy, Matplotlib, Seaborn)

  • Power BI

  • SQL

    Technologies & Frameworks:

  • Machine Learning (Scikit-learn)

  • Automation

📫 Let's Connect

Thank you for visiting my profile! Feel free to explore my repositories, and don’t hesitate to reach out if you'd like to collaborate on exciting projects or discuss innovative ideas. 🚀

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Global Wildfire Analysis & Modeling merges NASA FIRMS fire data and Open-Meteo weather, assigning fires to countries. Visualize top fire locations, map brightness, and model intensity with Random Forest. Ideal for scientists, policymakers, and environmentalists. Extend with historical data or deep learning approaches for informed decisions.

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