Daniel Torgbor Obodai is a researcher with a strong background in data analysis and a focus on applying quantitative methods to solve complex problems. He holds a Bachelor’s degree in Statistics and has research interests in Bayesian statistics, time series analysis, regression modelling, and operations research.
He brings practical experience in data analysis, data cleaning, and data governance, with proficiency in R, SPSS, and Stata. His work supports data integrity and evidence-based decision-making across research and policy contexts.
He has contributed to research instrument design, data collection and extraction from credible sources, supporting the development and execution of research projects. Daniel’s approach is grounded in linking data to development outcomes, with a focus on producing analyses that inform practical, impactful decision-making.