Award-Winning Economics Tutors
serving Los Angeles, CA

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.

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.

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

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.

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.

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.

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.

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.

Felix is pursuing economics or applied mathematics at the University of Chicago, one of the discipline's most rigorous programs. He breaks down concepts like elasticity, market equilibrium, and comparative advantage by connecting the graphs to real decision-making — so the math and the intuition develop together. His 5.0 client rating speaks to how clearly he communicates material that often feels abstract.

Studying economics at the University of Chicago — where the discipline's most influential modern ideas were developed — means Benjamin is immersed in microeconomic reasoning and market theory at a school that takes the subject unusually seriously. His 35 ACT and strong math background let him move comfortably between the graphical intuition of supply-and-demand analysis and the algebraic problem-solving that trips up students when courses start introducing equations. Rated 4.8 by his students.

A PhD candidate in economics at Yale with undergraduate degrees in physics and math from the same institution, Anthony brings serious quantitative firepower to the subject — the kind that matters when courses pivot from intuitive ideas about markets into optimization problems, game theory, or econometric proofs. He also teaches AP Micro, AP Macro, and econometrics, so he can connect introductory concepts to the formal models students will encounter as the material deepens. Rated 5.0 by his students.

Public policy analysis at the University of Chicago meant Noel spent his undergraduate years dissecting how economic principles — budget trade-offs, incentive design, cost-benefit frameworks — actually drive government decisions. That training makes him especially sharp on the macro side of economics, where fiscal policy and public spending aren't abstract textbook topics but the real-world problems he studied daily. Rated 4.9 by his students.

As an economics major at Dartmouth, Mia engages with concepts like market equilibrium, elasticity, and game theory on a daily basis. She unpacks the intuition behind graphs and models so that supply-and-demand curves and GDP calculations actually make sense instead of feeling like abstract formulas to memorize.

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.

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.