Supply and demand curves are simple enough on the surface, but economics gets tricky fast once students hit elasticity, market structures, or macroeconomic models. Emma minored in economics at Harvard, so she can unpack concepts like comparative advantage or fiscal policy with real-world examples that make the math and the theory click together. She holds a 5.0 client rating.

Natalie's Health Care Management minor at Penn exposed her to microeconomic principles like supply and demand, cost-benefit analysis, and market structures — all through the lens of real industries. She breaks down economic models by connecting them to concrete examples students can actually picture, whether it's pricing decisions or how incentives shape behavior.

Studying economics at Penn while simultaneously completing a music degree meant Katherine had to internalize models quickly — there wasn't time to passively reread chapters on elasticity or game theory when rehearsals and problem sets competed for the same hours. That efficiency now shows up in her tutoring, where she zeroes in on the specific graph, equation, or intuition a student is missing and builds understanding from there. Her 1550 SAT speaks to the analytical sharpness she brings to quantitative econ topics.

Studying Politics, Philosophy, and Economics at Penn means Esther encounters economic concepts not in isolation but tangled up with the political incentives and philosophical arguments that shape them — why a carbon tax gets framed as market efficiency in one class and as an ethical obligation in another. That interdisciplinary wiring is especially useful for students who need to understand the reasoning behind economic models, not just the graphs themselves. Rated 5.0 by her students.

Three engineering degrees — including one in applied mathematics — mean Rahi is fluent in the quantitative side of economics that often catches students off guard: optimization problems, marginal analysis, and the calculus lurking behind supply and demand curves. He also tutors macroeconomics and accounting, so he can connect microeconomic theory to the bigger fiscal picture and the financial statements where these forces show up in practice.

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.

Double-majoring in Economics and History at UCLA meant Christopher studied economic models alongside the policy debates and institutional shifts that produced them — so concepts like fiscal multipliers or trade deficits come with built-in context, not just formulas. His post-college work at Deutsche Bank gave him a front-row seat to how macroeconomic forces actually ripple through financial markets, which keeps his explanations grounded in observable outcomes.

Applying to PhD programs in applied mathematics means Romeo lives in the quantitative world that most economics students find intimidating — the calculus behind marginal analysis, the optimization problems in consumer and producer theory, the statistical models that underpin econometric reasoning. His math degree and 1510 SAT give him the analytical toolkit to break down the equations hiding inside economic concepts, making the transition from intuitive supply-and-demand reasoning to formal modeling feel far less daunting.

Seven years of classroom teaching — from middle school science in New York City to a summer residency in Hong Kong — trained Jay to read when a student's eyes glaze over and shift explanations on the fly, a skill that transfers directly to unpacking economics concepts like elasticity or shifts in aggregate demand. His BA in Economics means the subject knowledge is genuine, and his instinct is always to connect models back to decisions people actually face.

Supply and demand curves are simple enough on the surface, but the real challenge comes when students need to reason through elasticity, market failures, or monetary policy transmission mechanisms. Yoni earned his BA in Economics magna cum laude from Princeton, so he can unpack these models using real-world examples — from housing markets to Fed interest rate decisions — that make the theory click.

Ezra holds both an economics degree and a Juris Doctor, which means he teaches concepts like elasticity, market equilibrium, and comparative advantage with an eye toward how they actually play out in legal and financial contexts. His CFA candidacy adds a quantitative rigor that makes even abstract models like IS-LM feel grounded in real-world application.

Law school at NYU sharpens exactly the kind of reasoning economics demands — building arguments from incentive structures, weighing trade-offs, and thinking through how regulatory choices ripple across markets. Mustafa applies that legal-analytical lens to topics like macroeconomic policy and microeconomic decision-making, connecting the "why" behind government intervention or market behavior to the frameworks students need to master. His additional coursework in finance and accounting means he can ground abstract models in concrete business logic.

Sheena is finishing an accelerated master's in economics at Macaulay Honors College, which means she's actively immersed in the micro and macro theory her students are working through — from elasticity and market structures to aggregate demand and fiscal policy debates. Her strong quantitative background (1570 SAT, heavy math and calculus coursework) lets her tackle the graphing and algebraic reasoning that often trips students up when courses move past definitions into actual problem-solving. Rated 5.0 by her students.

I am most passionate about helping people learn history, social sciences, and mathematics. I also assist with standardized test prep, primarily with the Reading and Writing sections of the exams. In my spare time, I enjoy photography, hiking and other outdoor activities, and reading about philosophy, evolutionary biology, and human history.

Patrick's law degree from Duke trained him to dissect how legal frameworks — antitrust regulation, contract enforcement, property rights — shape the economic incentives that drive markets, giving him a structural angle on topics like market failure and government intervention that pure econ majors often lack. His MA in History adds context for understanding why economies evolve the way they do, from mercantilist trade policies to modern fiscal debates. Rated 5.0 by his students.

Dana's planned PhD research on the economics of gentrification and housing policy means she's already deep in the weeds of how markets, incentives, and government intervention collide in messy real-world settings. Her statistics background adds a quantitative edge — she can walk through regression output or interpret policy data alongside the standard micro and macro theory. Rated 4.8 by her students.

Supply and demand curves are simple enough on the surface, but Jing digs into the reasoning behind shifts — why a tariff changes equilibrium differently than a subsidy, or how elasticity determines who actually bears a tax burden. Her business management degree and real-world consulting across international markets give these textbook models a practical edge that makes them easier to remember and apply.

Most introductory economics courses cover supply and demand quickly and then expect students to apply those tools to everything from tax incidence to international trade — a leap that trips up a lot of learners. Eric's NYU finance background means he can anchor each new model in a real-world example, whether it's explaining elasticity through gas prices or illustrating comparative advantage through actual trade data. He holds a 5.0 rating from students.

The math behind economics — utility maximization, cost curves, equilibrium conditions — is where most students start to struggle, and it's exactly where Shahnawaz's applied mathematics training from ETH Zurich kicks in. He can walk through the calculus underlying consumer and producer theory or break down the linear algebra in input-output models with the fluency of someone who's spent years living inside that math. Rated 4.9 by his students.

Actuarial science is essentially applied economics with a calculator — Kunal's degree program at Baruch has him constantly modeling risk, pricing uncertainty, and quantifying how people respond to incentives, which maps directly onto micro and macro concepts like elasticity, expected utility, and market behavior under uncertainty. His strong math background (33 ACT, 1500 SAT) means he can walk through the graphical and algebraic side of economics — shifting curves, solving for equilibrium, calculating surplus — without the quantitative steps feeling like a detour from the core ideas.

Two UVA degrees in economics — a B.A. and a finance-concentrated M.S. — gave Magnus deep fluency in everything from supply-and-demand fundamentals to macroeconomic modeling. He connects abstract concepts like GDP accounting or monetary policy transmission to current headlines, which makes the material far easier to internalize.

I am a firm believer of this and, as such, I do not spoon feed students during sessions but rather guide them to figure out how to answer their own questions and solve their own problems. Thus, I focus not only on what to do, but how and why to do it. One of the most significant drivers of independent learning is curiosity, and this is one of the primary traits I aim to cultivate in students.

Supply and demand curves, elasticity, market equilibrium — economics at the introductory level is surprisingly mathematical, which is exactly where Abigail's engineering training pays off. She connects the graphical and algebraic sides of concepts like consumer surplus and production costs so the logic clicks, not just the formulas.

Jessie earned her bachelor's degree in economics, so she's spent serious time inside supply-and-demand models, elasticity calculations, GDP accounting, and game theory. She unpacks the math behind economic intuition — showing, for instance, why a marginal cost curve intersects average cost at its minimum — so students can reason through problems instead of memorizing graphs.

Microeconomic concepts like elasticity, market equilibrium, and game theory become far more intuitive when tied to actual business scenarios — something Sean does naturally as a finance and accounting student at NYU Stern. He unpacks supply-and-demand models and macroeconomic indicators by connecting them to the financial markets he studies daily.

Brad earned his economics degree from Columbia, where he tackled everything from microeconomic theory and market structures to macroeconomic policy analysis. That academic grounding means he can break down concepts like elasticity, comparative advantage, and game theory with real-world examples that make the logic click.

I am not someone who is satisfied when a student memorizes steps to solve a problem. I always want the student to understand what he/she is doing and why they are doing. This insight will make them a stronger, faster and better student, particularly in the field of mathematics. This brings the student long term results that could extend far beyond the work done in the tutoring sessions. Mathematics is my love and economics is my passion and because of this I bring incredible enthusiasm for the subject to my work. I bring the beauty of mathematics into my explanations, through theoretical and visual interpretations. In my spare time I like to paint and run.

A political science background means Daniel studied economics where it matters most — in the context of policy debates, trade agreements, and real-world decision-making. He breaks down concepts like supply and demand, market structures, and fiscal policy by connecting them to the political forces that shape economic outcomes. His 1540 SAT score speaks to the analytical rigor he brings to quantitative and reading-heavy coursework alike.

What makes economics click for a lot of students is realizing it runs on the same logical scaffolding as math — and Nikhil, as an NYU mathematics major, is wired to teach it that way. He digs into the quantitative side of topics like elasticity calculations, cost curves, and equilibrium models, making the algebra and graphing behind economic reasoning feel like a natural extension of skills students already have. Rated 4.8 by his students.

Supply and demand curves are just the starting point — Mo digs into how elasticity, marginal utility, and market equilibrium actually shape pricing and policy decisions. His finance degree grounds every economics concept in real-world applications, making abstract models feel concrete and logical.

Benjamin earned his degree in Economics and Biopsychology, which means he doesn't just teach supply-and-demand curves — he understands how economic models intersect with human decision-making and behavioral incentives. He breaks down concepts like elasticity, market equilibrium, and GDP measurement by tying them to real-world scenarios students already encounter.

Studying business management and sociology at Columbia means Adam encounters economic reasoning from two angles — the quantitative side of firm strategy and the social forces that shape how markets actually behave. That dual lens is particularly useful for unpacking topics like market failures or externalities, where understanding human behavior matters just as much as reading the supply-and-demand diagram.

Supply and demand curves are just the starting point — Akanksha digs into how elasticity, market structures, and fiscal policy actually shape real-world outcomes. Her finance degree and CFA preparation gave her a quantitative edge that makes graphing models and solving equilibrium problems feel less abstract and more intuitive for students.

Studying economics and political science at the University of Chicago meant Lear spent four years in the department that pioneered Chicago-school thinking — price theory, rational expectations, and the tight link between market behavior and policy design. Now a J.D. student at Columbia Law, he brings a legal and regulatory dimension to topics like antitrust, taxation, and how government intervention reshapes market incentives. Rated 4.9 by his students.

Studying Applied Math with an economics focus at Harvard, Tina lives at the intersection of quantitative modeling and economic reasoning every day. She breaks down concepts like elasticity, market equilibrium, and cost-benefit analysis by showing students the math behind the theory — then translating it back into plain language so both sides reinforce each other.

Justin's PhD in chemistry means he's spent years working with the quantitative modeling and data interpretation that economics courses increasingly demand — the same skills behind solving equilibrium problems show up when students need to work through supply-and-demand curves or optimize utility functions. That scientific rigor, plus a 5.0 tutoring rating, makes him particularly effective when economics shifts from conceptual to computational.

Supply and demand curves are simple enough on the surface, but economics gets tricky fast once elasticity, market failures, and macroeconomic policy enter the picture. Ankit unpacks each model by first explaining the assumptions behind it, then showing where those assumptions break down in the real world. His quantitative chemistry background means the graphical and mathematical sides of econ come naturally.

I am a rising senior at the University of Michigan studying Economics and Mathematics.

Econometrics, game theory, market structures, monetary policy — Luke covers the full range of undergraduate economics as a double major at Columbia. He's especially sharp at connecting mathematical models back to the economic intuition behind them, so regression outputs and equilibrium diagrams actually mean something. Rated 5.0 by students.

Two years living in Mexico City — completing a master's program conducted entirely in Spanish — gave Andrew a ground-level view of how economic forces like currency fluctuation, trade policy, and income inequality shape daily life in a developing economy. His undergraduate economics degree from Northwestern provides the theoretical backbone, while his current work in financial technology keeps him fluent in how markets, incentives, and pricing models actually function outside the classroom.