Award-Winning Microeconomics Tutors
serving Gilbert, AZ

Jake's marketing degree gives him a practical angle on microeconomic concepts — he's studied how firms actually respond to price elasticity, how consumers weigh marginal utility in purchasing decisions, and why market structures shape advertising strategy. That real-world grounding makes abstract models like profit maximization and cost curves feel less like graph exercises and more like tools businesses use every day. Rated 4.9 by students.

Running a SaaS company means living microeconomics daily — pricing strategies, marginal cost decisions, and reading market signals in real time. John brings that operational lens to concepts like elasticity, consumer surplus, and game theory, making abstract models feel like tools rather than textbook exercises. Rated 5.0 by students.

An economics degree from Northwestern gave Andrew the theoretical grounding to unpack microeconomic concepts like elasticity, market structures, and consumer choice theory with real clarity. He connects abstract models — indifference curves, marginal utility, game theory — to concrete examples drawn from his dual background in economics and law. Rated 4.9 by students, he's particularly sharp at teaching how firms make pricing and production decisions under different competitive conditions.

Maurice's Special Education master's degree trained him to diagnose exactly where a student's understanding breaks down — a skill that pays off in microeconomics, where one fuzzy concept like marginal cost or elasticity can make every subsequent model feel impossible. He rebuilds that reasoning chain piece by piece, connecting each graph to the decision it represents so students can work through supply-and-demand shifts or market structure problems on their own.

Every project at an architecture firm is a microeconomics problem — weighing marginal costs against marginal benefits, negotiating contracts under asymmetric information, allocating scarce resources across competing priorities. Emeka brings that daily practice into tutoring sessions, unpacking concepts like consumer surplus, production functions, and market structures with examples students can actually picture.

I am a student at the Barrett Honors College, a part of Arizona State University. I expect to earn my Bachelor of Science in Applied Mathematics with a focus on physics in December 2022. While my degree has had a heavy focus on physical sciences, I have also completed a variety of coursework in social and life sciences to prepare for my post-graduation plans. After graduation, I hope to earn either a Bachelor of Science in Nursing or a Master of Science in Entry to Nursing Practice and begin work as a pediatric nurse. I decided to change my path from mathematics and physics to nursing because I perform best and feel happiest when I am working with others, which is why I am so excited to have the opportunity to be a tutor. I first realized my passion for people-centered work in high school when I volunteered with the Juvenile Diabetes Research Foundation to help educate financial donors and newly diagnosed families on the science of type 1 diabetes. My passion grew throughout my time in college, during which I joined a division of a Rotary club, which matches people of all ages with service projects within their local community, became a teaching assistant for a Socratic-seminar discussion and writing course for freshmen in Barrett Honors College, and worked as a student researcher in a physics lab, where I had to collaborate with my colleagues to address research problems and clearly present my specific field of work to others who were less well versed in the topic.

I am currently in the process of obtaining a Bachelor of Science degree in pure mathematics at Rice University in Houston, Texas. I tutor a wide range of subjects including U.S. History, algebra, calculus, chemistry, comparative politics, economics, and test preparation. Although I enjoy tutoring in all of these subjects, I especially like tutoring math-related subjects such as high school algebra, calculus, and linear algebra. Outside of class and tutoring, I enjoy golfing, stargazing, collecting foreign coins, and playing the violin.

Consumer theory, production costs, and market structures each require a different kind of thinking — sometimes graphical, sometimes mathematical, sometimes purely intuitive. Catherine's background teaching both math and economics means she can walk students through utility maximization and cost curves without losing them in the algebra, keeping the economic reasoning front and center.

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.

Consumer choice theory, production functions, and game theory matrices each demand a slightly different way of thinking — and that's where most micro students get stuck. Albert tackles each framework on its own terms, drawing on his MBA economics training to show why firms price-discriminate, how externalities distort market outcomes, and what happens when you shift from perfect competition to oligopoly.

Studying finance at Boston College means Andy works with microeconomic principles daily — how firms price products, why markets allocate resources the way they do, and what happens when they don't. He brings that applied lens to concepts like profit maximization and market structures, grounding abstract graphs in the kind of real business reasoning that makes them click. Rated 5.0 by students.

Elasticity, marginal cost curves, market structures, welfare analysis — microeconomics is built on deceptively simple ideas that get complicated fast. Stephen's PhD research at Rice and his current teaching at Fordham keep him immersed in exactly these concepts, and his market research career means he can show students how firms actually use pricing strategy and cost analysis outside the classroom.

Elasticity, market structures, consumer surplus — microeconomics is full of concepts that seem straightforward on the surface but get tricky the moment you apply them to problem sets. Jack's Northwestern economics training means he can walk through the math behind each model while keeping the bigger economic intuition in focus. He holds a 5.0 rating from students.

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.

Reading The Economist for fun is one thing — Mark actually digs into the microeconomic logic underneath the headlines, connecting how firms price goods or respond to regulation back to the models students see in class. His bioengineering grad work is heavily quantitative, so he's comfortable walking through the calculus behind profit maximization or cost minimization problems that trip up students in intermediate micro.

With an applied math degree and PhD-level engineering work, Professor Florence tackles microeconomics from a deeply quantitative angle — the kind that makes optimization problems, constrained utility maximization, and cost function analysis feel like natural extensions of calculus rather than foreign territory. She teaches the mathematical machinery behind economic models so students understand what they're solving, not just how to push symbols around on an exam.

I am currently working in a Bronx Public School as a teaching apprentice in Algebra. I have four years of experience tutoring one on one with students of all ages.

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.

At UCLA, Christopher studied economics with a double major that gave him both the quantitative models and the historical context behind how markets actually develop — useful when explaining why perfectly competitive markets rarely exist or how government intervention reshapes incentive structures. His time at Deutsche Bank adds a practical dimension to topics like firm pricing behavior and cost analysis, since he's seen how businesses weigh marginal decisions with real money on the line.

Mary's PhD in Chemistry from the University of Chicago means she spent years doing the kind of constrained optimization and quantitative modeling that microeconomics relies on — minimizing costs, maximizing outputs, interpreting how variables shift on a graph. She pairs that analytical rigor with MBA coursework that gave her direct exposure to firm behavior, pricing strategy, and market dynamics. It's a combination that lets her teach both the calculus behind profit maximization and the business logic that makes it meaningful.