Since 01.09.2022 — Head of the Department of Economics and Business, International Engineering and Technology University.
01.12.2019 – 31.08.2022 — Associate Professor, Department of Economics and Business, International Engineering and Technology University.
2017-2018 - Kazakh State Women's Pedagogical University, Director of the Department of Academic Affairs
2007-2017 – Kazakh National Research Technical University named after K.I. Satpayev, Associate Professor of the Department of Assessment, Accounting and Audit", Deputy Director of the Institute of Economics and Business, Head of the Department of Economics and Finance
1997 – 2007 - T.Ryskulov Kazakh University of Economics (Narkhoz) lecturer, senior lecturer, Associate Professor of the Department of Economic Cybernetics
1989-1997 – SPTU No. 24, Semipalatinsk, teacher of ACS,
1986-1989 - Semipalatinsk Technological Institute of Meat and Dairy Products, young specialist assistant, teacher of the Department of Higher Mathematics
1980 - 1986 S.M. Kirov Kazakh State University, Faculty of Mechanics and Applied Mathematics. Mechanic, applied mathematician.
2000 - 2004 T. Ryskulov Kazakh University of Economics. 08.00.13 – “Mathematics and instrumental methods of economy.” The thesis for competition of academic degree of candidate of economic sciences. .
2009-2011. Technopark of KazNTU named after Satpayeva (commissioned by the Ministry of Education and Science of the Republic of Kazakhstan) under the leadership of Academician of the National Academy of Sciences of the Republic of Kazakhstan A.A. Ashimov "Program for the development of methods for developing and implementing effective public policy based on the theory of parametric regulation of market economy mechanisms".
Work performed: "Macro-assessment of the state of the national economy based on the model of a small open country, building an equilibrium model in the markets of goods, money and capital, analysis of the impact of economic instruments (money supply and government (2009-2011.)
Has more than 70 published publications, including monographs - 3, teaching aids - 4. Hirsch index (h-index) -2.
This discipline characterizes the essence and organization of the analysis of economic activity, its methodological foundations of economic analysis, methods of information processing in economic analysis, as well as ways to measure the influence of factors in deterministic analysis. In general, the course is aimed at acquiring a set of knowledge by students to acquire skills in measuring the influence of factors in stochastic analysis, knowledge of the methodology for determining the amount of reserves in the analysis of economic activity and the methodology of functional cost analysis. The purpose of the discipline is the formation of theoretical knowledge and practical skills among students on the use of the methodology of economic analysis at different stages of development and management decision-making in companies.
The course is aimed at studying the economic theory of the labor market and the role of the state in the labor market. As a result of studying the discipline, he owns the basic laws of the functioning of the external and internal labor market; understands the labor management systems at the enterprise, working conditions in the modern Kazakhstani economy; master the skills of creating incentive systems in relation to various categories of workers
The course is aimed at developing knowledge and practical skills in the field of business planning across various industries. It covers the principles, methods, and tools for developing business plans with consideration of industry-specific characteristics, market opportunity assessment, financial planning, risk analysis, project evaluation, as well as the application of modern information, analytical, and digital technologies. Upon completion of the course, students will be able to develop and evaluate business plans, justify investment decisions, and make effective managerial decisions.
The course is aimed at developing knowledge and practical skills in applying econometric methods to analyze, model, and forecast socio-economic processes. It covers regression analysis techniques, statistical hypothesis testing, model quality assessment, data processing using modern software tools, and the interpretation of results to support informed managerial decision-making in the context of the digital economy.
The purpose of the discipline is to develop students' skills in practical application to data analysis and effective management decision-making. The course is aimed at studying methods and models of quantitative analysis of the laws of economic theory using mathematical and statistical tools, based on the basic principles of analysis of statistical dependencies between indicators of socio-economic phenomena and processes. As a result of the training, students can analyze the main indicators of the enterprise using statistical data and modern computer software.