Interactive Streamlit dashboard simulating agricultural yield interventions in Ethiopia using predictive modeling, economic impact analysis, and regional insights from synthetic 2000–2023 crop data.

A machine learning project that predicts soil fertility levels using soil nutrient data, implemented end-to-end in a Jupyter Notebook.

Time-series modeling pipeline to predict cotton growth stage (GSTD) and generate an interpretable risk score using lag features, LightGBM, and SHAP