Award-Winning Economics Tutors
serving San Bernardino, 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.

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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.

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.

Dylan's undergraduate degree in Policy Analysis and Management required working through the economic frameworks that underpin real policy decisions — microeconomic reasoning about incentives, cost-benefit trade-offs, and how markets respond to regulation. His additional coursework in econometrics and AP Microeconomics means he can move fluidly between the intuitive side of economics and the quantitative tools students need to actually model outcomes.

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.

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.

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.

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.

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.

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.

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.

Supply and demand curves are simple enough on the surface, but economics gets tricky fast once students hit elasticity, market structures, or macroeconomic models. Emma minored in economics at Harvard, so she can unpack concepts like comparative advantage or fiscal policy with real-world examples that make the math and the theory click together. She holds a 5.0 client rating.

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.