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PhD Economist: Microeconomics, Game Theory & GRE Quant
Dmytro I.

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About Dmytro

Bio

I hold a PhD in Economics from the University of Pittsburgh, along with an MA in Economic Analysis from the University of Houston and the Kyiv School of Economics, and an MA in Statistics and a BA in Mathematics from Taras Shevchenko National University of Kyiv. My training covers both economic theory and the mathematics underneath it.

I taught at the University of Pittsburgh for six years and eight months, from 2016 to 2023, as a teaching assistant and instructor in economics. I lectured...

I hold a PhD in Economics from the University of Pittsburgh, along with an MA in Economic Analysis from the University of Houston and the Kyiv School of Economics, and an MA in Statistics and a BA in Mathematics from Taras Shevchenko National University of Kyiv. My training covers both economic theory and the mathematics underneath it.

I taught at the University of Pittsburgh for six years and eight months, from 2016 to 2023, as a teaching assistant and instructor in economics. I lectured and ran recitation sections in game theory, microeconomics, linear algebra, and constrained optimization for undergraduates aged eighteen to twenty-two and for graduate students, in groups ranging from small sections to full lecture halls. I held weekly office hours, where most of my one-on-one teaching happened, and I have tutored privately alongside that. The university's Teaching Center recognized one of my lectures as among the best delivered by a PhD student, and I have positive feedback from students.

My approach is diagnostic rather than repetitive. Students rarely fail an entire course; they fail at a particular step, and the work is finding it. I ask the student to talk through a problem and do the solving while I listen for the moment the reasoning breaks: a misread of mixed strategies, a subgame that was never checked, a Lagrangian built on the wrong constraint. We repair that step and then test it on a fresh problem. I usually end a session by assigning two or three problems to attempt alone, so the next meeting starts from evidence rather than from an impression.

I tutor introductory, intermediate, and advanced microeconomics, game theory, and the quantitative section of the GRE. I work with high school, undergraduate and graduate students, online and in person in Pittsburgh, and I reply to messages quickly.

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Education

Kyiv National University
Mathematics
Kyiv School of Economics
Masters
University of Pittsburgh
PhD

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Approved Subjects

Computer Engineering

Computer Engineering

I am an AI and machine learning engineer with a PhD from the University of Pittsburgh and more than four years of hands-on experience building and evaluating machine learning systems in production. Most of my work is in Python: training and fine-tuning deep learning models, working with vision-language and large language models, and building the data pipelines and evaluation frameworks around them. I have also worked extensively with tabular machine learning and computer vision, and I won a silver medal in an international Kaggle computer vision competition, finishing in the top four percent of more than two thousand teams. Alongside my industry work I spent almost seven years teaching at the University of Pittsburgh, so I am used to explaining technical material to people who are seeing it for the first time.
Elementary Math

Elementary Math

I have tutored school students in mathematics one on one for more than ten years, and I hold a PhD from the University of Pittsburgh, a BA in Mathematics and an MA in Statistics, along with almost seven years of teaching experience there. Elementary math is where the habits that matter later are formed, so I focus on making sure a child understands why a method works instead of memorizing steps, and I set the pace by the child rather than by a curriculum. In practice that means a lot of questions, drawing things out on paper, and asking the student to explain their thinking back to me or watching how they solve a problem, which is usually where a small misunderstanding turns up. My goal is that a child finishes each session a little more confident that they can work something out on their own.
Machine Learning/ AI

Machine Learning/ AI

I am an AI and machine learning engineer with a PhD from the University of Pittsburgh and more than four years of building and evaluating models in research and in production, including vision-language and large language models, computer vision, and tabular machine learning. I taught at the University of Pittsburgh for almost seven years, so I am used to taking material that looks intimidating on a slide and rebuilding it into something a student can actually implement. I can help with the fundamentals such as regression and classification, overfitting and regularization, and train and validation splits and the leakage that quietly ruins results, and also with deep learning in PyTorch, transformers, fine-tuning language models, and judging whether a model is genuinely working. I won a silver medal in an international Kaggle computer vision competition, finishing in the top four percent of more than two thousand teams, and I am glad to work from your course materials, your own code, or a project where you want to develop.
Microeconomics

Microeconomics

I hold a PhD in Economics from the University of Pittsburgh, where I taught microeconomics, game theory, and the mathematics behind them for almost seven years, both in lectures, small recitation sections, and during office hours. I work with students at every level of the subject: introductory and intermediate microeconomics for undergrads, advanced microeconomics for PhD students, and managerial economics for MBA programs. Because I taught these courses repeatedly, I know where most students lose the thread: working out the effects of taxes and quotas, calculating income and substitution effects, solving Cournot, Bertrand, and Stackelberg models, setting up constrained optimization problems, and finding mixed strategy Nash equilibria and analyzing subgames. I usually work directly from your syllabus, problem sets, and past exams, so a session covers what your course will actually ask of you, and I also pay attention to the mathematics the problems require and help with that as well when it is needed.
Algebra 1
GMAT
Python
SAT Math
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Hourly Rate: $50
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