The Wildfire Prediction

• Tech Stack: Python, SQL , ETL Processess, Data Analysis, Predictive Modeling, Data Visualization,Database Management
• Github URL: Project Link

- Leveraged advanced data analysis techniques to process over 1.88 million records from Kaggle, developing a predictive model with a 60% accuracy rate for wildfire causes, showcasing expertise in machine learning and statistical modeling.

- Engineered dynamic data visualizations for key wildfire metrics, facilitating effective communication of complex data insights and supporting strategic, data-driven decision-making.

- Implemented and optimized ETL processes for efficient data handling in an SQLite database, enhancing data retrieval and analysis capabilities and demonstrating proficiency in database management.