Award-Winning Economics Tutors
serving San Diego, CA

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.

Supply and demand curves are deceptively simple until students have to apply them to price ceilings, tax incidence, or market failures. Milan approaches economics the way he approaches code: by tracing the logic step by step and identifying exactly where an argument breaks down or a graph shifts.

Jacob's accounting coursework at both the undergraduate and graduate level means he doesn't just understand supply-and-demand diagrams — he can connect microeconomic theory to actual financial statements and business decisions. He digs into concepts like elasticity, market structures, and GDP accounting with the quantitative rigor that makes economics click.

I'm an affable chemistry-loving person whose joy come from delivering knowledge :D

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 Dartmouth with a computational emphasis, Eric digs into both the theoretical models and the real-world data that test them. He's particularly effective at unpacking concepts like elasticity, comparative advantage, and market equilibrium — translating the math into plain-language reasoning that sticks.

Supply and demand diagrams are just the entry point — JF digs into the reasoning behind elasticity, comparative advantage, and market equilibrium so that students can tackle unfamiliar problems without relying on memorized setups. His dual math and computer science training at Stanford gives him a quantitative edge when explaining concepts like marginal analysis and cost curves.

Co-authoring a published policy article for US News and World Report required Gary to translate economic data into clear, defensible arguments — exactly the skill economics courses demand. He tackles supply-and-demand analysis, market structures, and cost-benefit reasoning by grounding each concept in the political and policy contexts where these ideas actually get applied.

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 economics and finance at Wharton means Samica encounters micro and macroeconomic theory daily — supply and demand curves, market structures, GDP modeling — and can translate those concepts into clear, intuitive explanations. She connects abstract ideas like elasticity or comparative advantage to real-world business cases, which makes the material stick far better than rote definition review.

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

Studying sociology at the University of Chicago means Zo is constantly analyzing how institutions, incentives, and inequality shape human behavior — which is essentially what economics does through a quantitative lens. That social-science fluency makes her especially sharp on topics like market failures, externalities, and the distributional questions that come up in both micro and macro courses. Rated 5.0 by her students.

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.

Matt's finance degree means he learned economics not as an isolated academic subject but as the engine behind investment decisions, corporate strategy, and market behavior — so when he teaches concepts like elasticity or market structures, he can show students where the theory actually lands. His SAT score of 1530 also signals the kind of sharp analytical reading that economics coursework demands, especially when students need to interpret dense graphs or parse tricky problem setups.

Few economics tutors can explain supply-and-demand curves AND describe how those models play out inside a trading floor at Goldman Sachs or a policy meeting at the World Bank. Denise earned her B.S. in Economics from Wharton and her master's in International Finance and Economic Policy from Columbia, giving her the depth to teach everything from microeconomic theory and market structures to macroeconomic policy and international trade with real-world fluency.

Peter's journalism degree trained him to research, synthesize, and explain complex systems to a general audience — skills that translate directly to breaking down economic concepts like market structures, trade-offs, and policy impacts into clear, logical narratives. His Master's in Education means he knows how to structure those explanations so they actually land, whether a student is wrestling with supply-and-demand graphs or trying to connect micro principles to bigger macro questions.