Award-Winning Economics Tutors
serving Sacramento, 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

I am a graduate of Cornell University's College of Arts and Sciences. I received my Bachelor of Arts in Chemistry with Distinction in 2015. Since graduation, I was a physics/chemistry teacher and soccer coach at a private school in Virginia for a year, where I led the soccer team to an undefeated season. Before teaching and coaching professionally, I was a Teaching Assistant for the Cornell Math and Physics Departments, where I taught many subjects including calculus, mechanics, electromagnetism. Throughout my time at Cornell and as a teacher, I tutored subjects ranging from the SAT to AP Physics and Algebra II, which is where my true talents lie: in small group or one-on-one settings where I can give students the full attention they deserve and tailor my approach specifically to their learning styles. This is why I am now pursuing tutoring as a part-time occupation at Varsity Tutors. I embrace teaching all math and science subjects, especially physics and calculus, at both the college and high school level and will go above and beyond to make sure all of my students succeed, according to their definition of success. In my spare time, I enjoy playing league soccer, basketball, tennis and guitar, and also like to travel and see as much of the world as I can.

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.

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.

As a Finance major at Boston College, Andy engages with economic theory daily — from GDP and inflation to trade policy and market structures. He unpacks concepts like supply-and-demand equilibrium and opportunity cost by tying them to real headlines and business decisions, making the logic behind economic models click rather than feel abstract.

Elasticity, marginal analysis, market equilibrium, game theory — economics is ultimately about building models and knowing when they break down. Kelly studied Financial Economics at Duke and brings that analytical depth to both micro and macro concepts, unpacking the math behind the intuition so students can tackle problem sets and essays with equal confidence.

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.

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.

Harvard's Public Policy curriculum gave Alyssa a rigorous grounding in micro and macroeconomic theory — supply and demand modeling, market failures, fiscal policy analysis — that she now breaks down for students tackling college-level econ. She connects abstract concepts like elasticity and comparative advantage to real policy debates, making the material click rather than just survive on a formula sheet.

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.

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.

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.