Daniel Torgbor Obodai is a highly motivated and results-driven researcher with a strong background in data analysis and a deep passion for leveraging data to solve complex problems. With a Bachelor’s degree in Statistics from Kwame Nkrumah University of Science and Technology, Daniel brings a unique blend of academic knowledge and practical experience to the field of research. His research interests span Bayesian statistics, time series analysis, regression modelling, and operations research.
Daniel’s research expertise extends beyond the academic realm, as evidenced by his data analysis, cleaning, and governance proficiency. Skilled in utilising tools like R, SPSS, and STATA, he has demonstrated the ability to maintain standardised data integrity and support data-driven decision-making.
As a Research Assistant at Reseni Research, Daniel has honed his skills in academic writing, research instrument design, and data extraction from reliable sources. His ability to collaborate effectively with students and contribute to developing and completing complex projects, such as dissertations and theses, has made him a valuable asset to the research team. Daniel remains committed to research that bridges the gap between data and development, believing that “knowledge gains its actual value when it drives meaningful change.