Award-Winning Economics Tutors
serving Queens, NY

Noah's political science background at Penn gave him serious exposure to economic policy — trade theory, fiscal policy debates, and how markets interact with government institutions. He teaches economics as a way of thinking about tradeoffs and incentives, connecting supply-and-demand models to real policy questions students actually care about.

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.

An MBA from the University of Chicago and an undergraduate economics degree mean David has encountered the full spectrum of economic reasoning — from microeconomic models of firm behavior to the macroeconomic policy debates that shape real markets. Running a startup gives him a founder's perspective on how concepts like pricing strategy, marginal cost, and competitive dynamics actually play out when you're the one making the decisions.

Supply and demand curves seem simple until you have to use them to predict what happens after a tax, a price ceiling, or a shift in consumer expectations. Dana approaches economics as applied logic rather than memorization, connecting each concept to real-world policy questions she studied extensively during her public policy coursework. Her 36 ACT reflects the same analytical precision she brings to economic reasoning.

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.

Physics training builds a specific habit that transfers directly to economics: modeling complex systems with graphs, equations, and simplifying assumptions. Avram's three physics degrees mean he's deeply practiced at translating real-world behavior into formal models — exactly the skill students need when working through supply-and-demand curves, elasticity calculations, or equilibrium analysis.

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.

As a Cornell economics major, Tameem is still immersed in the coursework — working through the same models, problem sets, and exam formats that students are currently facing. That proximity to the material makes him particularly sharp on the foundational concepts that drive intro and high school economics, like how shifts in aggregate demand connect to unemployment and inflation or why price elasticity changes a firm's revenue strategy.

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.

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.

I am highly proficient in other areas in economics, high school mathematics, calculus I and European history.

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.

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.

Studying biology at Cornell means Drishti constantly encounters economics in disguise — resource allocation in ecosystems, cost-benefit trade-offs in evolutionary strategies, statistical modeling in population dynamics — which gives her an intuitive feel for concepts like scarcity, marginal analysis, and equilibrium. She also tutors AP Micro, AP Macro, and AP Statistics, so she can connect the graphical and quantitative reasoning those courses demand back to core economic thinking. Rated 5.0 by her students.

After spending years on Wall Street analyzing markets, industries, and financial data as a research executive, Frank brings an insider's understanding of how macroeconomic forces — interest rates, inflation, trade dynamics — actually ripple through real institutions. His MBA sharpens that perspective, letting him connect textbook models of supply, demand, and market structure to the strategic decisions he made professionally.

An economics degree from Brown means Bryan doesn't just know supply-and-demand diagrams — he understands the theoretical frameworks behind market behavior, game theory, and macroeconomic policy. He unpacks concepts like elasticity, comparative advantage, and monetary policy by grounding abstract models in real-world examples that make the logic intuitive.

Matt's undergraduate economics degree gives him genuine fluency with the core material — supply and demand mechanics, market structures, opportunity cost — while his theatre and acting training means he knows how to make a dry lecture on GDP or fiscal policy feel like a conversation worth having. A 34 ACT composite speaks to the kind of analytical sharpness that keeps explanations tight and precise, especially when students need to connect graphs to the economic reasoning behind them.

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.

Anthropology at Cornell taught Emily to analyze how societies organize resources, distribute power, and respond to scarcity — which turns out to be a surprisingly direct path into economic thinking about markets, incentives, and trade-offs. Her pre-med quantitative coursework and experience tutoring calculus for Cornell's athletics department mean she's comfortable with the graphing and math that underpin models of supply, demand, and equilibrium. Rated 4.8 by her students.

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.

Studying labor and industrial relations at Cornell means Charlie lives economics — not just textbook supply-and-demand, but how firms actually make pricing decisions, how labor markets function, and why policy interventions produce unintended consequences. He brings that applied perspective into sessions, connecting abstract graphs to the real-world logic behind them.

John's MBA in Finance gives him a practitioner's lens on economics — he connects abstract concepts like elasticity, marginal analysis, and market equilibrium to how real financial markets actually behave. That grounding makes the theory click faster, whether the topic is microeconomic optimization or macroeconomic policy. Rated 4.8 by students.

Idara's Stanford master's in Management Science & Engineering — with its focus on organizations, technology, and entrepreneurship — required deep engagement with economic modeling, decision analysis, and how incentive structures shape firm behavior. Her chemistry concentration built the quantitative rigor that makes topics like optimization, game theory, and cost-benefit analysis feel like second nature rather than abstract hurdles. Rated 4.8 by her students.

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.

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.

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.

Philosophy trains you to dissect arguments down to their hidden assumptions — a skill that transfers directly to economics, where every model rests on assumptions about how people behave. Andrew's philosophy degree means he's unusually good at unpacking the logical structure behind concepts like rational choice theory, game theory payoffs, and the reasoning that connects incentives to outcomes. He also teaches business law and ethics, so he can pull in the regulatory and moral dimensions that pure econ courses often gloss over.

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.

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.

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.

Studying international relations and government at the graduate level means constantly grappling with economic forces — trade policy, resource allocation, institutional incentives. Rukhsar brings that real-world policy lens to economics concepts like comparative advantage, market structures, and fiscal mechanisms, making abstract graphs and models feel grounded in actual decisions governments and firms face every day.

Literature majors learn to read arguments closely and trace how evidence supports a claim — skills that transfer directly to breaking down economic reasoning, where every graph tells a story about trade-offs, incentives, or market behavior. Carmen's 35 ACT and strong quantitative reasoning background mean she's comfortable with the math side too, from plotting supply-and-demand curves to interpreting elasticity calculations.

Tallat's dual master's work — one in business and marketing, the other in public health administration with a finance concentration — means he's studied economic reasoning from two very different angles: how firms compete for market share and how governments allocate scarce healthcare resources. That crossover makes him particularly sharp on topics like cost-benefit analysis, market failures, and the microeconomic logic behind public policy decisions. Rated 5.0 by his students.

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.

Supply and demand curves are simple enough on their own, but economics gets tricky when students have to connect micro-level concepts like elasticity to macro-level questions about fiscal policy and GDP. Ammaar's statistics background at Cornell sharpens his ability to explain the quantitative side — interpreting graphs, calculating marginal costs, and reasoning through market equilibrium problems.

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.

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.

Jim earned his BA in Economics and brings that training directly into how he teaches supply and demand, market equilibrium, and the interplay between fiscal and monetary policy. He breaks down models like AD-AS and the Phillips Curve so students understand the reasoning behind the graphs, not just how to label them. Rated 5.0 by students.