Award-Winning Business Calculus Tutors
serving Anaheim, CA

Having studied both economics and computer science at Caltech, Brian thinks about calculus the way business students need to — as a tool for modeling decisions, not as an exercise in proofs. He teaches derivatives through the lens of marginal analysis and optimization problems pulled from actual econ coursework, so concepts like cost minimization and revenue maximization click on the first pass.

Megan's applied mathematics degree means she lives in the space where abstract calculus meets real-world modeling — exactly the territory business calculus occupies. She's particularly sharp at showing students who identify more as readers or writers than "math people" how to read a cost or revenue function the same way they'd read a passage: looking for structure, relationships, and what changes mean in context.

Kathleen's math background spans from pre-algebra through multivariable calculus and biostatistics, which means she can calibrate explanations to exactly the level a business calculus student needs — no unnecessary proofs, but enough depth that optimization and rate-of-change problems actually click. She's especially sharp at walking through the setup phase where students translate a word problem about profit or cost into the function they need to differentiate. Rated 4.9 by students.

Pryce studied both economics and math at the University of Pennsylvania, which means he's spent years working with the exact functions business calculus revolves around — cost curves, demand equations, optimization models. When a problem asks what happens to profit at the margin or how to minimize average cost, he can walk through both the calculus mechanics and the economic reasoning behind the answer. Rated 5.0 by students.

Chemical engineering trained Cory to treat calculus as a decision-making tool — optimizing processes, modeling rates of change, interpreting what a function's behavior actually means in practical terms. That engineering instinct translates directly to business calculus, where every derivative and integral ties back to profit margins, cost curves, or demand elasticity. Rated 4.9 by students.

A physics degree builds an unusual skill for business calculus: the habit of translating real scenarios into functions and then interpreting what the math actually says. Cory applies that same thinking to cost curves, profit maximization, and demand elasticity — walking students through how to set up the problem from a word-heavy prompt, not just how to differentiate once the equation is already written. Rated 4.9 by students.

Mechanical engineering at Carnegie Mellon meant Ryan spent four years applying calculus to real systems — cost modeling, optimization under constraints, rate-of-change problems with physical and financial stakes. That engineering instinct for asking "what does this derivative actually tell us?" translates directly to business calculus topics like profit maximization and marginal analysis. Rated 4.8 by students.

A PhD in applied mathematics means Samuel doesn't just know how to differentiate a profit function — he understands the modeling assumptions underneath it, which is exactly what trips up business calculus students when they're asked to interpret results rather than just compute them. He breaks down optimization and marginal analysis by starting with what the function actually represents in a business scenario, then building the calculus around that meaning. Rated 5.0 by students.

Studying finance and accounting at NYU Stern while simultaneously taking rigorous quantitative coursework gives Sean a daily, practical connection to the exact problems business calculus covers — he's actively using derivatives to analyze cost behavior and optimization in his own finance classes. That real-time fluency means he can walk through marginal revenue, profit maximization, and rate-of-change problems with the business vocabulary already baked in. Rated 5.0 by students.

Three engineering degrees — including one in applied mathematics — mean Rahi has worked through calculus from every angle, pure and applied. For business calculus students, he zeroes in on translating derivative and integral mechanics into the language of profit maximization, cost analysis, and demand elasticity, bridging the gap between the math they're learning and the business decisions it models.

Aerospace engineering at UF means Aerin lives in calculus — but the problems she solves daily (trajectory optimization, fuel consumption modeling) mirror the same structure business calculus students face with cost minimization and revenue curves. She teaches the setup step explicitly, showing how to read a business scenario and build the function before ever taking a derivative. Rated 4.9 by students.

Thomas studied mathematics and statistics while grading college math assignments for several years, which means he's seen exactly where business calculus students tend to stumble — usually at the point where a derivative stops being a formula and needs to become a decision about cost, revenue, or growth. His upcoming economics master's program reinforces the applied lens he brings to topics like optimization and rate-of-change problems in financial contexts. Rated 4.9 by students.

Economics PhD students don't just study calculus — they rely on it daily to model how firms price goods, how markets reach equilibrium, and how marginal changes ripple through an economy. Katherine brings that working fluency to business calculus, teaching concepts like optimization and rate-of-change analysis through the economic intuition she's built across her graduate research. Rated 5.0 by students.