info1@tsue.uz +998 71 239 01 49
Information

Mirolimov Mirislom Mirshokir o‘g‘li
Professor, Candidate of Economic Sciences (PhD in Economics)
Monday–Friday
Contact

m.mirolimov@tsue.uz
+998 71 239 01 49
+998 71 239 01 49
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Mirolimov Mirislom Mirshokir o‘g‘li

Professor, Candidate of Economic Sciences (PhD in Economics)

Work history

Education:

  • 2016 – Bachelor in Statistics, Tashkent State University of Economics

  • 2018 – Master in Statistics (with honors), Tashkent State University of Economics

Experience:

  • 2018 – Assistant, Department of Statistics, Tashkent State University of Economics

  • 2019 – Educational Advisor, Faculty of Finance and Accounting, TSUE

  • 2021–2023 – Doctoral Researcher, Department of Statistics, TSUE

  • 2023–present – Senior Lecturer, Department of Statistics, Faculty of Digital Economy, TSUE

Publication:

  • Author of more than 20 scientific and methodological works, including 1 monograph, 17 research articles (6 published abroad), and 11 conference papers (international and national)

Selected Articles and Conference Papers:

  • Statistical research of the labor market in the Region (Tashkent region as an example) // WBML, 2022

  • Employment Indicators of the Population of Tashkent Region // International Journal of Arts, Humanities and Social Studies, 2023

  • Analysis of Tashkent region labor market and statistical study of its development dynamics // IJSSMR, 2023

  • Problems and solutions in developing employment of economically active population in Tashkent region // Iqtisodiyot va ta’lim, 2023

  • Statistical analysis of effective utilization of employed and non-employed population in Tashkent region // Iqtisodiyot va innovatsion texnologiyalar, 2023
    (…full list available upon request)

Monograph:

  • Statistical Research of the Labor Market in Tashkent Region (2023)

Teaching Materials:

  • Savdo statistikasi (Study Guide, 2023)

Skills:

  • Specialized in statistical research of regional labor markets, with a focus on improving methodologies for analyzing employment dynamics

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