Emmanuel Muzumbwe is a seasoned data systems and M&E specialist with over a decade of experience in designing and implementing digital solutions across health, agriculture, and financial sectors. He has led the development of bespoke digital platforms such as the Service Quality Assessments (SQA) system for HIV programs, capacity-strengthening trackers, QA tools for cervical cancer screening, QR-code grain management systems for streamlined agricultural tracking, and comprehensive loan management solutions. Additionally, he has built advanced interactive dashboards, data analysis workflows, and outcome indicator frameworks to monitor program effectiveness across food security, resilience, and capacity-strengthening initiatives, as well as HIV program management pipelines—ensuring that data-driven insights directly support strategic decision-making.

He is highly skilled in Python, PHP, Power BI, Tableau, SQL, Excel Power Query, STATA, SPSS, and GIS tools, with a strong command of M&E methodologies, including logic models, theory of change, and results frameworks. Emmanuel holds a Postgraduate Diploma in Monitoring and Evaluation, a First-Class Bachelor’s Degree in Computing, and is currently pursuing a Master’s in Data Science. With expertise in Agile SCRUM and Rapid Application Development (RAD) methodologies, he develops scalable, user-centered systems that transform complex data into actionable insights for evidence-based decision-making.