Award-Winning Microeconomics Tutors
serving St. Louis, MO

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.

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.

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!"

Supply and demand curves are just the starting point — the real challenge in microeconomics is applying optimization logic to consumer choice, firm behavior, and market structures. Darin's engineering background means he's comfortable walking through the calculus behind marginal analysis and showing students how each graph tells a precise quantitative story.

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.

David's sociology research at Columbia and Chicago trained him to model how individuals make decisions under constraints — which is exactly what microeconomics formalizes with utility functions, budget lines, and optimization problems. His computer science background adds fluency with the quantitative side, from setting up cost minimization equations to interpreting the slopes of indifference curves. Rated 4.9 by students.

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.

As an economics major at Dartmouth, Eric studies microeconomic models — game theory, firm pricing strategies, consumer optimization — with the formal rigor of a top program, not just a survey-level overview. His strong quantitative background (1520 SAT, heavy calculus coursework) means he can walk through the math behind indifference curves or profit maximization while keeping the economic intuition front and center. Rated 5.0 by students.

Supply and demand curves are simple enough on the surface, but microeconomics gets tricky fast once students hit elasticity calculations, game theory matrices, and market failure models. Laura studied economics at the undergraduate level and brings real fluency to topics like consumer surplus, price discrimination, and production cost analysis. She connects the math behind each graph to the economic intuition it represents, which makes problem sets far less mechanical.

Consumer choice theory, elasticity, and market structures each require students to think in graphs and equations while never losing sight of what the math actually represents. Matt earned his economics degree alongside two arts degrees, so he's practiced at translating between abstract models and plain-language explanations. He digs into the logic behind cost curves and Nash equilibria until students can solve problems and explain why the answer makes sense.

Cole's master's thesis at the University of Amsterdam focused on monetary policy and banking — work that required building up from micro-level foundations like how individual banks optimize lending decisions and how interest rate changes ripple through firm behavior. That research depth means he can teach concepts like price discrimination, cost minimization, and strategic interaction with the kind of precision that comes from having used them analytically, not just memorized them for an exam. Rated 5.0 by students.

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.

Being inside Michigan Ross's BBA program means Kerry encounters microeconomic thinking in nearly every class — how firms decide what to produce, why pricing strategies differ across market structures, and what drives consumer decision-making under scarcity. That daily immersion in business case analysis gives her a way of teaching concepts like elasticity and profit maximization that's grounded in how companies actually behave, not just how curves shift on a whiteboard.

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.

Marginal cost curves, consumer surplus, and game theory matrices can feel abstract until someone shows you the math driving each one. Rahi tackles microeconomics by walking through the calculus behind optimization — profit maximization, utility functions, price discrimination — so students can solve problems confidently instead of memorizing graph shapes.