Applied Statistics: Mr. Shibeshi has a keen interest in applying statistical methods and techniques to solve real-world problems across different domains, including health, education, and economics.
Data Analysis: He is interested in exploring various data analysis methods to derive meaningful insights from complex datasets, with a focus on predictive modeling, multivariate analysis, and time series analysis.
Community Development: Mr. Shibeshi is passionate about conducting research that contributes to the development and well-being of communities, particularly in rural and underserved areas. His research in this area may focus on identifying socio-economic disparities, assessing community needs, and evaluating the impact of development interventions.
Program Evaluation: He is interested in evaluating the effectiveness and efficiency of social programs and interventions, including health interventions, education initiatives, and poverty alleviation programs, using rigorous statistical methods.
Epidemiology and Public Health: Mr. Shibeshi may also be interested in research related to epidemiology and public health, including disease surveillance, outbreak investigations, and health disparities research.
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