Sofilab/Rainfall-analysis-Ethiopia

A data science project analyzing rainfall patterns to support climate-resilient infrastructure in East Africa. # Africa Rainfall Analysis This project explores rainfall data across five African countries: **Ethiopia**, **Kenya**, **Malawi**, **Benin**, and **Côte d'Ivoire**. Using Python and data science tools, the goal is to analyze seasonal patterns, detect climate variability, and support climate-resilient infrastructure development. ## Objectives - Clean and preprocess raw rainfall data - Analyze spatial and temporal rainfall patterns - Visualize trends and anomalies - Share reproducible insights for use in environmental planning, agriculture, and engineering ## Tools & Technologies - Python (Pandas, NumPy, Matplotlib, Seaborn) - Jupyter Notebook - GitHub for version control - Visual Studio Code (optional) ## Data Source Rainfall datasets obtained from national and regional repositories. Manual data entry and cleaning were performed for consistency. ## Author **Sofia Nesru Kelil** Structural Engineer | Data Science Fellow Focused on climate-resilient design and data-driven solutions in Africa