Online Tutor Evgeniy

At the moment, I hold a position of associate professor and have 9 years university teaching and research experience.

I teach econometrics, microecononometrics, empirical IO, machine learning, databases for business analytics and game theory courses at the Higher School of Economics. I teach quantitative courses in Stata and R.

My expertise is econometrics. I may help you with it at all levels, from Bachelor to Doctoral. I am the most familiar in Economics and Management field, but also may help biology, medical and social science students.

I teach game theory and machine learning at undergraduate level, so feel free to send me the required topics, and I will tell about is it my expertise or not.

I also teach databases and SQL. I am familiar with relational algebra theory and general databases theory, and has large practical experience with writing queries using SQL. If you request is about it, I may definitely help you.

My main research field is empirical industrial organization, and, in particular, econometric structural models of consumer demand. That is why, I may help with microeconomic models of consumer behavior, and IO research.

If you need help within this fields, or any other field within economics and quantitative methods, feel free to send me a message and assign a free call to discuss a possible classes.

The deepest area of my expertise in microeconoemtrics: instrumental variables, sample selection, panel data and discrete choice models. Another field of expertise is nonparametric econometrics and its applications within sample models which I studied in my PhD thesis. However, I teach topics in general econometrics and time series too.
During my nonacademic job and working at applied project I developed skills in databases and SQL, and now I teach also a course in databases for business analytics.
Last three years I dived deep into machine learning methods as a tool for solving various economic and business problems, like prediction and classification. I also combine my knowledge in sample selection and censored data models with understanding of machine learning methods to develop ML algorithms for better prediction of censored data.