Award-Winning Microeconomics Tutors
serving Kansas City, MO

Engineering is applied optimization — Jordan spent his mechanical engineering degree solving constrained problems that mirror what microeconomics asks students to do with cost minimization, resource allocation, and production efficiency. He unpacks the calculus behind firm behavior and consumer choice by connecting it to the same mathematical tools he used designing physical systems, which grounds abstract econ models in concrete problem-solving logic.

As a tutor for TCU's Economics Department, Mason taught micro concepts like elasticity and consumer choice to fellow undergrads — the kind of hands-on repetition that builds real fluency with how these models work under the hood. His economics degree means he can move fluidly between the graphical intuition and the math, whether a student is setting up a profit maximization problem or trying to make sense of indifference curves for the first time.

I have a Bachelor of Science degree in Industrial Management with Economic Honors from Purdue University. I attended Purdue under a full academic scholarship. After graduation I attended the University of Chicago where I first earned a Master of Arts in Economics and then proceeded to achieve the level of All-but-Dissertation PhD at the University of Chicago in Economics. Since then, I have held key leadership positions with emphasis in strategic planning, finance, operations, and sales in a wide range of companies, from a Fortune 100 to an entrepreneurial high technology start up. Throughout my career I have found the time to function as an adjunct faculty member in economics for Saint Louis University, Maryville University, Webster University, Illinois Institute of Technology, and Elmhurst College, I love making economics understandable and applicable to the world we live in. Nothing makes me happier than to have a learner respond "now I get it!"

The jump from supply-and-demand basics to producer theory and game theory is where most micro students struggle. Shih digs into the math behind indifference curves, cost minimization, and Nash equilibria, drawing on his finance coursework at UGA to show how these models map onto real firm decisions and market structures like oligopoly and monopolistic competition.

Introductory microeconomics is where Reed cut his teeth as a tutor — he served as a prefect and TA for Carleton College's micro courses, running both classroom sessions and one-on-one reviews. He digs into consumer and producer theory, cost curves, and market structures with an emphasis on connecting the graphs to the underlying math so each concept reinforces the other.

Supply and demand curves are just the starting point — Zeeshan digs into the mechanics behind consumer choice theory, price discrimination, and market structures like oligopoly and monopolistic competition. His PhD research at Vanderbilt keeps him immersed in microeconomic modeling daily, so he can unpack concepts like elasticity or game theory with real-world precision.

Marginal cost, elasticity, consumer surplus — microeconomics is full of terms that sound technical but describe decisions people make every day. Travis unpacks these concepts by tying them to real scenarios: why airlines price seats differently, how a coffee shop decides its hours, what happens when a city caps rent. His political science training sharpens the policy side of micro, especially around market failures and regulation.

The jump from basic supply-and-demand to consumer theory, production functions, and market structures trips up a lot of students because the math and the intuition have to work together. Eric unpacks each model — indifference curves, marginal cost pricing, game theory matrices — by tying the algebra back to the economic story it tells. His Business Administration training gives him a practical lens on how firms actually make these decisions.

Consumer optimization, cost curves, and market structure problems all follow a logic that becomes predictable once you see the underlying math clearly. Marshall approaches microeconomics by walking through the calculus and graphical reasoning together, so students understand not just where the profit-maximizing quantity lands but why. His Northwestern economics training keeps the explanations rigorous without making them inaccessible.

Sami earned his economics and computer science degrees at Duke, then moved into management consulting and corporate finance before starting his MBA at Yale — so when he teaches concepts like profit maximization under different market structures or strategic pricing in oligopolies, he's drawing on decisions he's actually watched firms make. That blend of academic rigor and industry experience makes the leap from textbook models to problem-set application much smoother.

Marginal cost curves, elasticity calculations, and market structure models can blur together without a clear framework for when each tool applies. Dylan's policy analysis training required him to use microeconomic models to evaluate everything from healthcare markets to environmental regulation, so he teaches these concepts through the lens of actual decision-making. Students leave sessions understanding not just how to solve the problem set but why firms and consumers behave the way the models predict.

Kyle's statistics degree means he's fluent in the quantitative reasoning that underpins microeconomic analysis — interpreting slopes on cost curves, thinking through marginal changes, and modeling how rational agents optimize under constraints. He brings that statistical intuition to topics like elasticity and market efficiency, where students often struggle to connect the math to what's actually happening in a market. Rated 4.9 by students.

Most microeconomics courses lose students somewhere between indifference curves and game theory — the math feels disconnected from any decision a real person would make. Noel's public policy background lets him anchor every model in actual scenarios: why firms price-discriminate, how externalities justify a carbon tax, what happens to surplus when a city caps rent. That grounding turns problem sets from rote calculation into genuine analysis.

Marginal cost curves and consumer surplus diagrams start making sense once someone explains the decision-making logic underneath them. Jay approaches microeconomics from his background as an econ major, unpacking topics like market failures, production functions, and elasticity by first asking what a rational actor would actually do in a given scenario — then showing how the math and graphs formalize that reasoning.

Andrew's Labor and Industrial Relations degree at Cornell covers significant microeconomic ground — labor markets, wage determination, firm behavior under different bargaining structures — giving him a practical lens on concepts like supply and demand, market power, and efficiency. He teaches students to think through how incentives shape decisions at the individual and firm level, grounding abstract models in the kind of real-world labor and industry examples that make the logic click. Rated 4.9 by students.