Award-Winning Economics Tutors
serving San Francisco, 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

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.

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.

Jake's marketing degree means he studied the demand side of economics firsthand — consumer behavior, pricing strategy, and how firms respond to market signals are concepts he's applied, not just memorized. His strong quantitative background (he tutors AP Statistics and both AP Calculus courses) lets him handle the graphing and algebraic reasoning that economics problems demand when students move past definitions into actual analysis. Rated 4.9 by his students.

Monetary policy, banking systems, and market behavior aren't abstractions to Cole — they were the focus of his cum laude master's thesis at the University of Amsterdam. He teaches economics by grounding theory in current events, so students see how supply-and-demand diagrams or GDP calculations connect to headlines they've actually read. Rated 5.0 by students.

Clive is currently studying economics at Brown, where he's immersed in everything from microeconomic theory and market structures to macroeconomic policy and econometric modeling. That active coursework means he knows exactly which concepts — opportunity cost, elasticity, game theory, aggregate demand — tend to trip students up and how current professors frame them.

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.

Carter earned his economics degree at Brown and then taught game theory to advanced middle school students at a Johns Hopkins CTY program in Hong Kong — so he knows how to make concepts like Nash equilibria, marginal analysis, and market structures click for learners at very different levels. He connects economic models to real decisions rather than leaving them as abstract graphs. His approach digs into the intuition behind supply-and-demand shifts, elasticity, and welfare analysis so the math and the logic 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.

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

Studying economics and legal studies at Penn means Ethan lives inside the overlap between market forces and the rules that shape them — how antitrust law changes competitive dynamics, or why regulatory frameworks matter as much as supply curves. That legal dimension gives him a useful angle for explaining topics like market failures and government intervention, where the textbook model and the real-world outcome don't always match up. His 35 ACT speaks to the kind of analytical sharpness that translates well into breaking down econ problem sets.

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.

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.