As a PhD economics student, Dana builds cost, revenue, and elasticity models daily — the exact functions business calculus courses ask students to differentiate and integrate. She teaches the chain rule or finding a local maximum not as isolated calc techniques but as steps in answering questions like "at what production level does profit peak," drawing problems straight from her graduate research at Stony Brook.

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.

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.

Daniel's dual accounting and finance coursework at UNF means he's already used calculus to solve the exact problems business students encounter — building cost functions from accounting data, then differentiating to find where marginal cost meets marginal revenue. That fluency in both the math and the business language behind it lets him explain not just how to take a derivative, but what the answer actually means on an income statement. Rated 4.9 by students.

Finance majors often breeze through the business concepts in business calculus but hit a wall when they actually have to differentiate and integrate cost or revenue functions. Jonathan's finance degree means he speaks the business language fluently, so he spends his time on the calculus mechanics — setting up optimization problems, applying the chain rule to compound-interest models, and interpreting what a derivative actually tells you about profit at a given output level.

Finance majors often wonder why they need calculus — until a problem asks them to find where profit peaks or how cost changes per additional unit, and suddenly the math is the business. Christopher's finance degree from Ohio State means he tackles those optimization and marginal analysis problems with the same vocabulary students encounter in their core business courses. He connects each derivative back to a financial concept, so the calculus feels like a natural extension of the decision-making students are already learning.

A PhD in Mathematics and Computer Science means Irene can trace every business calculus concept back to its roots — but more importantly, she knows when not to. She zeros in on the applied side: setting up profit functions, interpreting what a derivative actually tells a manager about changing costs, and using integration to model accumulated revenue. Rated 4.9 by students, she brings decades of teaching experience to a subject where clear, no-nonsense explanation matters most.

Tyler is finishing dual degrees in engineering and finance, which means he lives at the intersection of calculus and business decision-making every day. He breaks down optimization and marginal analysis problems by tying the math directly to the finance concepts students are learning in their other courses — so a derivative isn't just a slope, it's a tool for evaluating cost and revenue tradeoffs. Rated 5.0 by students.

Where most business calculus students stumble isn't the differentiation itself — it's translating a word problem about profit margins or demand curves into the right function to differentiate. Jhonatan's biology and neuroscience training gave him years of practice applying calculus to real systems, from modeling population growth to analyzing rates of change in physiological data. That applied mindset, rated 5.0 by students, carries directly into breaking down optimization and marginal analysis problems.

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.

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.

Drisana's applied mathematics degree means she treats every derivative and integral as a tool with a specific job — and in business calculus, that job is usually answering questions about cost, revenue, or profit at the margin. She breaks down optimization problems and exponential growth models by starting with what the business scenario is actually asking, then building the calculus around it. Rated 5.0 by students.