Award-Winning Microeconomics Tutors
serving Raleigh, NC

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.

Consumer choice theory, production functions, market structures — microeconomics is full of models that look abstract until someone shows you how they map onto real behavior. Natalie's dual focus in economics and engineering at Duke means she approaches these models both intuitively and mathematically, breaking down each graph until the logic behind it is clear.

Because Bailey studied economics at Duke — where the curriculum leans heavily on formal microeconomic modeling — she's worked through the full sequence: consumer and producer theory, elasticity, market structures, and the welfare analysis that ties them together. Her 3.94 GPA in that program signals she actually retained the mechanics, from setting up Lagrangians for constrained optimization to interpreting what happens graphically when a tax wedge enters a competitive market.

Chemical engineering coursework is essentially applied optimization — minimizing costs, maximizing output, working within constraints — which maps directly onto how microeconomics models firm behavior and resource allocation. Devin uses that quantitative instinct to unpack concepts like supply-and-demand shifts and elasticity calculations, connecting the graphs to the underlying logic rather than treating them as standalone diagrams. Rated 5.0 by students.

Consumer and producer theory, cost curves, market structures — microeconomics is built on a surprisingly small set of tools that get applied in dozens of ways. Rishi's economics and econometrics background lets him show exactly how those tools connect, so students aren't re-learning each chapter from scratch. He holds a 5.0 client rating.

Elasticity, marginal cost curves, and consumer surplus can feel abstract until someone maps them onto decisions people actually make. Victoria explains microeconomic concepts by grounding them in real examples — why a coffee shop prices drinks the way it does, or how a subsidy shifts market outcomes — making the math and the theory reinforce each other.

Indifference curves, elasticity, market structures — microeconomics has a visual logic that most textbooks bury under jargon. Ben's economics coursework means he can walk through each graph from intuition to math, so students understand why a monopolist's marginal revenue curve sits below demand rather than just accepting it.

From elasticity calculations to game theory matrices, microeconomics demands both intuition and precision. Trevor majored in economics at Dartmouth, where micro theory was central to his coursework, and he unpacks each concept by walking through the underlying logic of consumer and firm behavior before layering on the math.

I am open to helping any student of any age with nearly any subject (math, reading, writing, biology, chemistry, economics, civics, Spanish etc). I'm also happy to help with test prep (hello SAT and ACT takers), as well as college application assistance. I'm a strong believer in a patient, non-judgmental, non-intimidating approach to tutoring, and I really try to prioritize the comfort of my students. As someone who has used tutoring myself in some of my harder classes in college, I understand that not everything comes easily to everyone, so I want all of my students to feel comfortable asking any and all questions they might have, or going over a topic as many times as needed to understand it. I'm all about friendly, humble service!

I am a graduate of the University of California - Berkeley where I received my Bachelor of Arts in Economics and Data Science. Throughout college, I have volunteered with numerous education equity organizations dedicated to helping children from challenging socioeconomic backgrounds thrive in school; taught Reading to students K-8, taught for a summer enrichment program , and worked as a group tutor for data science at university. Whether it is working with younger students build their foundations or helping older students advance in core subjects, I have a passion for education and making learning as fun and accessible as possible! Outside of tutoring, I work as an economic researcher in the public sector and volunteer at environmental oriented non-profits.

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.

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.

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.

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.

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.

The math behind microeconomics — setting up Lagrangians for constrained optimization, deriving demand from utility functions, finding equilibrium prices algebraically — is where most students hit a wall. Thomas's math and stats training at Carleton means he can teach both the economic intuition and the calculus simultaneously, so a concept like profit maximization isn't just "set MC equal to MR" but a problem a student can actually solve and interpret. Rated 5.0 by students.

Running a startup means David lives microeconomic decision-making — pricing strategy, cost structures, how competitive dynamics actually play out when you're the one making the calls. His UChicago MBA and economics degree give him the formal modeling toolkit to back up that practical instinct, so he can teach concepts like price discrimination or game theory with concrete examples from real business operations.

An economics degree from SUNY Albany means James can teach microeconomic concepts — supply and demand curves, elasticity, market structures, consumer choice theory — with the depth of someone who studied them formally. He connects abstract models like marginal utility and cost curves to real-world pricing decisions that make the logic intuitive. His 4.9 rating speaks to how clearly he breaks down graphs and mathematical relationships that trip students up.

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.

Supply-and-demand diagrams are easy until you hit consumer and producer surplus, deadweight loss from price controls, or the math behind profit maximization in different market structures. Rohan digs into the logic behind each model so students can derive answers rather than memorize curve shifts. His economics degree means he connects introductory micro concepts to the bigger analytical framework they feed into.

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.

From elasticity calculations to the subtleties of monopolistic competition, microeconomics demands comfort with both graphical reasoning and mathematical precision. Olivia's dual background — a BA in math and economics from Vanderbilt plus doctoral-level training at UNC Chapel Hill — lets her walk through utility maximization and cost curve analysis with genuine fluency rather than surface-level definitions.