Maryna Horna
Personal information
Job Title: Associate Professor, Department of Statistics, Information and Analytical Systems and Demography
Academic Degree: Ph.D. in Economics
Academic Title: Associate Professor
E-mail: maryna.horna@knu.ua
Work experience
2022 – current
Associate Professor of the Department of Statistics, Information and Analytical Systems and Demography.
Faculty of Economics, Taras Shevchenko National University of Kyiv, Vasylkivska Str., 90 A, Kyiv, Ukraine, 03022.
- Teaching of the following courses: Statistics, R Programming Environment, Applied Data Analysis Package “R-Studio”
- Organizing academic conferences and seminars
- Participating in scientific projects and research initiatives
Education and training
2024
Expert in accreditation of educational programs.
National Agency for Quality Assurance in Higher Education, Kyiv
2010–2013
Ph. D. in Economics Graduate school.
Kyiv National Economic University named after Vadym Hetman
1993–1998
Master degree in Economic Statistics.
Kyiv National Economic University named after Vadym Hetman
Networks and memberships
2024 – current
Member of the NGO “Progresylni” (Certificate No. 1670/25)
https://progresylni.org/membership
2010 – current
Active participant in academic and professional networks focused on statistics, data analysis, and educational analytics; contributor to international research collaborations and conference initiatives.
Skills
- Mother tongue(s): Ukrainian
- Other language(s): English B2
- Organizational skills and competencies: Experienced in statistical data analysis, research design, and project coordination. Skilled in using R for quantitative and data-driven research.
- Computer skills and competencies: R-Studio, Statistics with Python, Tableau, Power BI, SQL, SPSS and Moodle.
- Other skills: Strong research and analytical skills.
Publications:
Projects
2025
Participant. International Training Program “AI Mindset in Entrepreneurial Spaces” (EIT HEI-TRAIN Project), Mykolas Romeris University, Lithuania. The project applies process mining methods to promote sustainable digital transformation aligned with ESG goals.
2022
Responsible researcher. Participation in the implementation of the international comparative study PISA-2022. Responsibilities included the sampling of educational institutions and participants, data processing, and the transfer of the verified research database to the OECD and international partners.
