Mathematical Epidemiology professional with expertise in data analysis, mathematical modeling, and machine learning for complex biological systems. Experienced in applying scientific computing tools, including Python and R, to identify patterns and generate actionable insights. Combines rigorous quantitative skills with practical problem-solving to support evidence-based decision-making and public health solutions.