I love helping students in topics related to math, to finance (public and private equity) and to engineering. I believe that if I can't explain concept, then I don't understand it. By that same token, if a student can't explain a concept back to me, then they don't understand it even if they say they do. I believe in getting to know all students, as their background is intricately connected with how they learn.

Having tutored for both the economics and mathematics departments at TCU, Mason knows the exact moment business calculus students stumble — when a derivative stops being a slope and starts being marginal revenue, or when an integral becomes total cost over an interval. His economics training means he speaks both languages fluently, translating the calculus mechanics into the business intuition professors actually test on.

I am qualified to tutor many subjects, my favorite subject by far is math, specifically calculus. Math is a subject almost universally hated, and I believe that is mainly due to the narrow way in which it is taught. I have ADHD, and I often don't understand things the first time they are explained to me, meaning over the years I have had to figure out different ways of looking at information. Oftentimes, all a student needs is for something to be explained in a different way, and I love watching people finally understand a concept. Everyone learns differently, but everyone can learn.

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.

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.

Industrial engineering is essentially optimization under constraints — minimizing cost, maximizing throughput, allocating resources — which means Juan's UF coursework overlaps directly with the core problems business calculus students face. He teaches derivatives and integrals through the lens of real decision-making: where a cost function hits its minimum, how revenue changes at the margin, and what an integral actually tells you about total profit. Rated 4.9 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.

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.

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.

Dana's statistics degree and economics research background mean she teaches business calculus the way it actually gets used — setting up cost and revenue functions from word problems, then interpreting what the derivative or integral tells you about a real decision. That translation step from scenario to math is where most business students get stuck, and it's where her econ training makes the biggest difference. Rated 4.8 by students.

Engineering graduate work is essentially applied calculus — Ellyn spent years using derivatives and integrals to model real systems, optimize designs, and interpret physical data, which maps directly onto the cost, revenue, and marginal analysis problems in a business calculus course. Her PhD in mechanical engineering means she can unpack why an optimization technique works and show students how to set up the problem from scratch, not just mimic a textbook example. Rated 5.0 by students.

Computational biology graduate work means Levi spends his days building mathematical models from real data — the same skill business calculus demands when students need to set up a cost function or interpret what a derivative says about profit. His biology-to-data-science path gives him a knack for translating messy word problems into clean calculus steps, which is usually the part that trips business majors up. Rated 4.9 by students.