Conducting lectures and seminars on econometrics.

Communication with customers, discovery, conflict management, requirements elicitation, teamwork, delegation, prioritization, knowledge transfer sessions, mentoring, data modeling, data profiling, source-to-target mapping, etc.

Analyze and organize raw data, build data systems and pipelines, evaluate business needs and objectives, interpret trends and patterns, conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, build algorithms and prototypes, combine raw information from different sources, explore ways to enhance data quality and reliability, develop analytical tools and programs.

Data mining, data preprocessing, descriptive analysis, and predictive analysis for game theory tender optimization, real estate price prediction, and NPS model.

- Descriptive, diagnostic, predictive, and prescriptive analysis of economic and statistical data to support decision-making on monetary policy; - Preparation of special publications on monetary policy; - Analysis of the needs of economic agents in financial instruments and services; - Monitoring the level of development and competition of financial organizations and financial instruments, as well as the preparation of proposals for improvement; - Data mining, data preprocessing, data analysis, and data modeling to predict inflation and other macroeconomic indicators.

Scientific activities (conducting research and publishing articles), teaching (conducting seminars for the course on "Economics of the Public Sector", writing requirements and a plan for research and undergraduate practice for students, conducting practice defense).