I leverage data science to combat food insecurity by transforming complex datasets into actionable insights that drive meaningful change. My work focuses on identifying vulnerable populations, predicting resource gaps, and optimizing food distribution networks through advanced analytics and machine learning. By analyzing patterns in agricultural data, socioeconomic indicators, and supply chain metrics, I help organizations make evidence-based decisions that improve food access for underserved communities. Every model I build and insight I uncover contributes to creating more resilient, equitable food systems worldwide.