Emmanuel Oladunni

Emmanuel is a data management and research professional at Hanovia Limited with several years of experience supporting large-scale research and evaluation projects across multiple sectors. He specializes in survey design, data management, data quality assurance, quantitative and qualitative analysis, and field operations support. His work focuses on transforming raw field data into accurate, reliable, and actionable insights that support evidence-based decision-making. Emmanuel is recognized for his attention to detail, analytical skills, and ability to maintain high standards of accuracy, ethics, and timely project delivery.

Emmanuel has experience designing and programming surveys using platforms such as SurveyCTO, ODK, and REDCap. He is also proficient in quantitative and qualitative analysis tools including Stata, Microsoft Excel, ATLAS.ti, NVivo, and Dedoose. In addition, he has supported field team coordination, real-time data quality monitoring, dataset cleaning, analysis, and technical reporting for projects implemented with organizations such as IFPRI, the World Bank, and the American Institutes for Research.

Academically, Emmanuel holds a BEng in Computer Engineering and is currently pursuing a Master of Engineering (MEng) degree in Computer Engineering, applying his technical knowledge to support the development of more efficient and automated data systems for field research and programme implementation.