Award-Winning Economics Tutors
serving Harrisburg, PA

Three economics degrees deep, Simon lives in supply-and-demand curves, GDP models, and game theory the way most people live in their native language. He unpacks concepts like elasticity, monetary policy, and market equilibrium by tying them to real headlines — tariff debates, Federal Reserve decisions, housing markets — so the math and the intuition reinforce each other.

Kevin's Philosophy, Politics, and Economics major at the University of Pennsylvania means he studies economics not as an isolated discipline but as something deeply entangled with policy decisions and ethical trade-offs. He breaks down concepts like market equilibrium, elasticity, and game theory by connecting them to real political and social questions that make the logic behind the models click.

Studying economics at Penn means Alessia encounters supply-and-demand models, game theory, and macroeconomic policy debates in her own coursework every week. That real-time engagement with the material makes her especially effective at unpacking concepts like elasticity, comparative advantage, and IS-LM analysis — she explains them the way she just learned to think about them, not from distant memory.

Supply and demand curves are straightforward until you layer in elasticity, market failures, and government intervention — then economics gets interesting. Eliza earned her economics degree from Penn and tackles concepts like comparative advantage and marginal analysis by tying them to real-world examples students actually recognize, from streaming service pricing to minimum wage debates.

Mary earned her MBA from Rider University and took business coursework at Bucks County Community College, giving her a grounded understanding of supply-and-demand models, market structures, and cost-benefit analysis. Her quantitative background in chemistry and physics also means she's comfortable with the graphing and algebra that trip up many economics students.

Studying economics at Penn means Jennifer encounters supply-and-demand models, game theory, and macroeconomic policy frameworks on a daily basis — not as abstract concepts but as tools she actively uses. She unpacks ideas like elasticity, comparative advantage, and market equilibrium by tying them to real-world examples that make the logic intuitive. Students preparing for AP Econ or introductory college courses get someone who genuinely lives the material.

Majoring in both economics and mathematics at Boston College means Patrick tackles the subject from both sides — the intuitive reasoning behind concepts like elasticity and market failures, and the quantitative models that formalize them. That dual training is especially useful when students hit the parts of economics where graphs and equations start doing the heavy lifting, like consumer and producer surplus calculations or equilibrium analysis.

Supply and demand curves are easy enough to draw — the hard part is understanding elasticity, equilibrium shifts, and what happens when you layer in government intervention. Conor's dual background in mathematics and finance from the University of Pittsburgh means he can walk through both the graphical intuition and the underlying algebra that drives economic models.

Patrick earned his degree in economics and approaches the subject by grounding abstract models — supply and demand curves, GDP accounting, market equilibrium — in real-world scenarios that make the logic click. Whether a student is wrestling with elasticity calculations or trying to interpret a Phillips Curve, he connects the math to the intuition behind it.

Supply and demand diagrams are straightforward until you have to apply them — price ceilings, tax incidence, market failures. Patrick approaches economics by making sure students can reason through new scenarios on their own, not just reproduce graphs they've already seen in lecture.

I'm a graduate of Robert Morris University where I earned my BSBA in Economics and Finance. After graduating from RMU I attended Johns Hopkins University where I earned my MA in Applied Economics. My interests lie in the fields of banking, energy, healthcare, and public policy.

An economics degree from Penn means SriSaiSuhita has worked through everything from basic supply-and-demand models to econometrics and game theory. She breaks down abstract concepts like elasticity or market equilibrium using real-world examples — pricing strategies, labor markets, policy trade-offs — that make the logic intuitive rather than formulaic.

Few economics tutors bring both a policy master's degree and nearly a decade of running their own business to the table. Daniel connects economic theory — from market equilibrium to externalities to trade models — back to decisions he actually made as a small business owner navigating real markets. That combination makes abstract graphs and equations feel like descriptions of things that genuinely happen.

Studying the biological basis of behavior alongside a math major means Jonathan spends his coursework at the intersection of human decision-making and quantitative reasoning — exactly where economics lives. That combination clicks especially well for topics like game theory and behavioral economics, where understanding why people make irrational choices matters as much as modeling the rational ones.

Pursuing a double major in Economics and History & Philosophy of Science at the University of Pittsburgh gives Priya an unusual angle on the discipline — she's studying not just how models like supply and demand or comparative advantage work, but how economic thinking itself evolved and why certain frameworks won out over others. That philosophical lens is especially useful for students who need to move past rote graph-shifting and actually understand the logic behind economic reasoning.

Earning an economics degree means Shua didn't just memorize supply-and-demand diagrams — he worked through the underlying logic of how markets allocate resources, how firms set prices, and how policy interventions ripple through an economy. His strong quantitative background in statistics and calculus lets him break down the graphing and mathematical reasoning that often trips students up in both micro and macro courses.

Michael lists economics as one of his two favorite subjects to tutor, and his dual background in bioengineering and economics means he naturally thinks about how incentive structures and resource constraints shape decisions — whether in healthcare markets, pharmaceutical pricing, or everyday consumer behavior. His 5.0 rating and a 35 ACT suggest someone who can break down both the graphical intuition of micro and the policy logic of macro with precision.

Supply and demand curves, elasticity, market structures — Patrick connects these economics concepts back to real business scenarios rather than leaving them as abstract graphs. His accounting and business management training at Pitt means he can explain how microeconomic principles actually show up in a company's financial decisions.

Four years of GED tutoring and classroom teaching in Philadelphia's public schools gave Walter a clear read on where students get stuck with economic reasoning — especially the leap from everyday intuition about prices and wages to the formal logic of supply-and-demand models and fiscal policy. His education and history degrees from Temple mean he naturally anchors concepts like trade-offs, scarcity, and government intervention in the historical contexts that make them easier to retain. Rated 4.8 by his students.

Studying mathematical economics as his major means Andreas doesn't just memorize supply-and-demand diagrams — he works through the calculus and algebra underneath them, from deriving marginal cost curves to solving equilibrium conditions with systems of equations. That quantitative comfort is especially useful for students hitting the point in their econ course where the math starts outpacing the intuition. Rated 4.8 by his students.

An energy and sustainability minor means Michael lives at the intersection of economics and engineering — analyzing externalities, market failures, and cost-benefit tradeoffs in real energy markets. He unpacks concepts like elasticity, comparative advantage, and equilibrium pricing using concrete examples that make the underlying logic intuitive.

Supply-and-demand curves are just the starting point — economics gets interesting when students can apply models like comparative advantage, elasticity, or game theory to real markets. Lachlan is studying finance and entrepreneurship at Wharton, so he connects textbook theory to actual business decisions and policy debates students read about in the news.

Economic concepts like supply and demand or comparative advantage only click when students see them operating in real historical contexts — trade policy debates, industrialization, financial crises. Nathaniel's deep background in history gives him a library of concrete examples that make abstract economic models tangible and easier to apply on exams.

Alex's math degree gives him a natural advantage when economics courses pivot from intuitive concepts into the graphs and equations that actually drive the analysis — demand curves, elasticity calculations, and the algebra behind equilibrium models. He also teaches both micro and macroeconomics alongside statistics, so he can connect the quantitative backbone of econ to the broader ideas about markets and policy that students need to retain.

Optimization problems, trade-off curves, and equilibrium analysis are daily tools in engineering — which means Joey approaches economics with the same quantitative instincts he developed earning dual engineering degrees from Glasgow and Penn. He's especially effective at connecting supply-and-demand models to the real-world resource allocation problems students find most compelling.

I am a current undergraduate student at Tufts University pursuing a double major in economics and history, with a minor in physics. My favorite subjects to tutor are history and english because I love to write, so I really enjoy the analytic facets of these classes. I have been an English tutor for four years, a history tutor for one year, and an ACT tutor for nine months. Some of my other experience includes teaching summer classes in South Africa, and volunteering as a caretaker at orphanages in Poland. Outside of tutoring, I row crew in Boston, write poetry, and love walking my two adorable dogs. I am fluent in English, German, French, and I am currently learning Russian. Please feel free to reach out if you have any questions, and I look forward to working with you!

Computer science students often have an underappreciated edge in economics — they're already comfortable with logical modeling, variables, and systems thinking. Sarah's CS degree means she naturally approaches topics like microeconomic decision-making and market equilibrium as structured problems with inputs, outputs, and constraints, which can make the subject click for students who think more algorithmically than verbally. Her AP Microeconomics and college economics teaching round out that technical instinct with familiarity in how the material is actually tested.

I'm also a recent graduate of The New School, with a Bachelor of Arts in Literary Studies.

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.

Elasticity, marginal analysis, market equilibrium, game theory — economics is ultimately about building models and knowing when they break down. Kelly studied Financial Economics at Duke and brings that analytical depth to both micro and macro concepts, unpacking the math behind the intuition so students can tackle problem sets and essays with equal confidence.

Studying economics at Yale means Conor is working through the same problem sets, models, and exam formats that many of his students are currently facing — from micro concepts like elasticity and market structures to macro topics like GDP accounting and monetary policy. That proximity to the material, paired with a 1590 SAT that signals serious quantitative chops, makes him especially sharp at walking through the graphs and algebra that tend to separate students who memorize definitions from those who actually understand how economic models work.

Rithi's quantitative backbone — a neuroscience degree, a master's in biotechnology, and deep coursework in statistics and calculus — means she can tackle the math-heavy side of economics that often catches students off guard, like working through elasticity calculations, interpreting cost curves, or setting up optimization problems. Her 4.9 rating speaks to an ability to make that quantitative reasoning feel approachable even for students who came in expecting a purely conceptual course.

Dylan's undergraduate degree in Policy Analysis and Management required working through the economic frameworks that underpin real policy decisions — microeconomic reasoning about incentives, cost-benefit trade-offs, and how markets respond to regulation. His additional coursework in econometrics and AP Microeconomics means he can move fluidly between the intuitive side of economics and the quantitative tools students need to actually model outcomes.

Joshua earned his bachelor's in Economics and International Studies, which means he learned economic concepts — trade theory, exchange rates, development policy — through the lens of how they actually shape relationships between countries. That global perspective is especially useful for students who need to connect microeconomic and macroeconomic models to the messy reality of international markets and policy decisions.

Shreya's AP Micro and AP Macro teaching experience means she knows exactly where students get tripped up — confusing movement along a curve with a shift, or mixing up fiscal and monetary policy tools. Her molecular biology coursework at Yale loaded her schedule with statistics and quantitative reasoning, so she's comfortable walking through the graphs and mathematical models that make economics click. Rated 5.0 by her students.

Studying both History and Economics at Harvard, Finley tackles economics the way it actually works — as a discipline shaped by real-world policy decisions and historical context. He breaks down concepts like supply-and-demand elasticity, market structures, and game theory by grounding them in concrete examples rather than abstract graphs alone. Rated 5.0 by students.

Jack earned his economics degree at Northwestern, where he studied everything from game theory to monetary policy in both micro and macro contexts. He connects abstract models — supply and demand curves, GDP calculations, elasticity — to real-world scenarios that make the reasoning behind each graph intuitive rather than mechanical.

Caltech's economics program is heavily quantitative — Brian's coursework there meant building economic models with real calculus and statistical tools, not just sketching supply-and-demand curves. His computer science double major adds a computational edge that's particularly useful for students tackling game theory, optimization problems, or any econ course where the math suddenly gets serious. His 1580 SAT reflects the kind of analytical precision he brings to breaking down dense material.

As an economics major at Duke, Eric tackles everything from supply-and-demand fundamentals to more advanced topics like game theory, market structures, and macroeconomic policy. He connects abstract models to real-world examples that make concepts like elasticity or comparative advantage intuitive rather than formulaic. Rated 5.0 by 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.