I am a data analyst and public health researcher driven by a deep curiosity about differences, outliers, and the ways they reveal social and health disparities. My work focuses on health data science, geographic information systems, and monitoring and evaluation, with a commitment to explaining data in clear and accessible ways. I have supported major public health programs through roles in family planning, health data management, and system strengthening, where I provided technical guidance, led assessments, and trained teams to use data for better decision making.

As an independent consultant, I have partnered with organizations to conduct gap analyses and improve the use of program data for health interventions. My academic and professional experience has allowed me to work with advanced analytical tools, including machine learning and spatial statistics, to better understand how place and context shape health outcomes. I am passionate about using data to highlight hidden patterns, improve equity, and strengthen the evidence base that drives public health action.