Statisticians, researchers, and data professionals who turn complex topics into practical skills.
Dr. Tekle Gebre has more than 12 years of experience teaching statistics and research methods to university students, researchers, and professionals. His practical teaching style focuses on understanding, interpretation, and real-world application.
Education: PhD in Statistics
Experience: University lecturer · Research consultant · M&E trainer
Courses: Practical Statistical Analysis · SPSS for Research · Regression Analysis
Research interests: Survey methodology, statistical modeling, education research
Prof. Kiros Berhe is an experienced researcher and academic who has supervised dozens of theses and dissertations. He specializes in research design, mixed methods, and academic writing.
Education: PhD in Development Studies
Experience: Professor · Research supervisor · Reviewer
Courses: Research Methodology · Research Design · Mixed Methods · Thesis & Dissertation Support
Research interests: Rural development, education policy, program evaluation
Amanuel Molla is a data analyst with deep practical experience in Excel, Power BI, and business intelligence. He trains teams to turn operational data into dashboards and decisions.
Education: MSc in Information Systems
Experience: BI analyst · Corporate trainer · Data consultant
Courses: Excel for Data Analysis · Advanced Excel · Power BI for Decision Making · Introduction to Data Analysis
Research interests: Data visualization, decision support systems, digital transformation
Selam Hailu teaches statistics in a way that makes numbers approachable. She specializes in survey design, descriptive statistics, and making statistical concepts accessible to beginners.
Education: MSc in Statistics
Experience: University instructor · Survey consultant · Trainer
Courses: Basic Statistics · Descriptive Statistics · Survey Design
Research interests: Survey methodology, statistics education, gender statistics
Hanna Gebru helps researchers design qualitative studies, code interview data, and write with clarity. She has supported students and professionals in publishing research across disciplines.
Education: MA in Sociology
Experience: Researcher · Writing coach · Journal reviewer
Courses: Qualitative Research · Academic Writing · Research Report Writing · Data Visualization
Research interests: Gender studies, community development, qualitative methods
Daniel Tesfay brings a programmer's precision to data analysis. He teaches Python, R, data cleaning, and reproducible research workflows to learners and teams.
Education: MSc in Data Science
Experience: Data scientist · Developer trainer · Analytics consultant
Courses: Python for Data Analysis · R for Data Analysis · Data Cleaning and Preparation · Data Collection
Research interests: Machine learning, open data, agricultural analytics
We are always looking for experienced statisticians, researchers, and data professionals who love practical teaching.
