Emmanuel Muzumbwe is a seasoned professional with over a decade of expertise spanning Data Science, Health Informatics, Monitoring and Evaluation (M&E), and Financial Switch Protocols. As an accomplished Data Manager and Web-Based Solutions Architect, he has spearheaded the development of numerous bespoke information systems, including the Granular Site Management (GSM) system for tracking HIV programs in PEPFAR-funded facilities, Quality Assurance (QA) systems for cervical cancer programs, QR-Code grain management systems for streamlined agricultural tracking, comprehensive loan management solutions, and land management platforms.

Emmanuel holds a Bachelor’s Degree in Computing and a Postgraduate Diploma in Monitoring and Evaluation from leading institutions both locally and internationally. He is currently pursuing a Master’s Degree in Data Science, further deepening his expertise in advanced analytics and machine learning. He specializes in developing scalable web and mobile information systems using Agile Scrum and Rapid Application Development (RAD) methodologies.

His technical proficiency includes advanced expertise in tools like Python, SQL, Power BI, STATA, SPSS, and Power Query, enabling efficient data mining, analytics, and reporting. His M&E expertise spans the design of data collection tools, logic models, theory of change frameworks, and results-based systems, ensuring projects achieve measurable outcomes from resources to impact.

Driven by innovation and excellence, Emmanuel empowers organizations to leverage data for impactful, evidence-based decision-making.