Award-Winning Economics Tutors
serving Fresno, 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 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.

Studying finance at UGA means Vignesh works with economic concepts as living inputs — interest rates, market structures, consumer behavior — not just textbook diagrams, since his coursework requires applying micro and macro reasoning to actual corporate and investment decisions. He also teaches AP Micro and AP Macro, so he knows exactly where introductory students get tripped up on topics like elasticity, market failures, and the mechanics of fiscal versus monetary policy. Rated 5.0 by his students.

Supply and demand curves are just the starting point — Dawn digs into the mechanics of market equilibrium, elasticity, monetary policy, and game theory that make economics click at the college level. Her B.S. in Economics with a finance concentration from Duke means she can connect textbook models to how markets actually behave.

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.

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.

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.

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.

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.

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.

Supply and demand curves are simple enough on the surface, but the real challenge is applying them — shifting curves correctly, interpreting elasticity, or reasoning through market failures. Benjamin's Economics degree from Notre Dame gave him deep fluency with both micro and macro frameworks, and he teaches students to think through cause-and-effect chains rather than memorize graph shapes.

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.

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.