Maureen Ambasa is a data-driven research and advanced analytics expert specializing in mixed-methods research—combining quantitative and qualitative approaches—to transform complex datasets into actionable insights for public health policy and program development. With a proven track record in health systems optimization, maternal and reproductive health analytics, and financial inclusion research for healthcare enterprises, she bridges the gap between data and decision-making.
She has extensive experience conducting health program impact assessments, policy analysis, and systems performance evaluations. Maureen has worked with leading institutions, including Kenya’s Ministry of Health, health agencies in West Africa, the World Bank, international and local NGOs, delivering research that informs strategic policies and interventions.
Leveraging advanced statistical modeling and machine learning, she provides stakeholders with inferential analysis, predictive modeling, and data-driven decision support, optimizing programs and improving public health outcomes
