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

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.

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.

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.

With an economics degree and a 5.0 client rating, Ryan brings both academic grounding and clear communication to topics like elasticity, market failures, and the mechanics of supply-and-demand shifts. He also teaches finance and accounting, which means he can show students how microeconomic reasoning actually translates into business decisions — making abstract models feel like practical tools rather than exam fodder.

Studying both engineering and economics at Duke gave Natalie a quantitative lens on economic reasoning — she's comfortable moving between supply-and-demand intuition and the math behind elasticity, optimization, and equilibrium. She digs into the "why" behind each model so students can apply concepts to unfamiliar problems, not just textbook examples.

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 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.

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.

As an economics major at Northwestern, Sarah digs into the same core principles — scarcity, opportunity cost, market equilibrium, elasticity — that introductory students encounter for the first time. She translates abstract models into concrete examples, making supply-and-demand curves and production possibilities frontiers feel intuitive rather than mechanical.

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 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.

Environmental Science and Public Policy intersects constantly with economics — cost-benefit analysis, externalities, market failures, trade policy. Ethan brings that applied perspective to economics tutoring, connecting abstract models like supply-and-demand curves or GDP accounting to tangible policy questions students can reason through. His strong quantitative background (36 ACT, AP Statistics and Calculus) means the math side of econ never becomes a bottleneck.