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.

Akio's computer engineering training at Purdue leaned heavily on calculus for modeling systems — the same skills that show up in business calculus when students need to find where a cost function bottoms out or how revenue shifts at different production levels. As a teaching assistant across multiple STEM courses, he got practiced at spotting exactly where someone's setup goes wrong and walking them through the fix. Rated 4.8 by students.

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.

Most business calculus students don't struggle with the mechanics of differentiation — they struggle with translating a word problem about profit margins or demand curves into the right equation to solve. Professor Florence's applied math degree from UCLA and PhD-level engineering work mean she's spent years moving between abstract formulas and real-world modeling, which is exactly the skill business calc demands. She teaches students to read an optimization problem the way a business analyst would, then execute the calculus cleanly.

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.

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.

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.

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.

As a data analyst with a finance master's degree, Alexandra lives in the applied math that business calculus actually tests — she uses derivatives and optimization models daily to analyze costs, revenue trends, and financial projections. That real-world fluency means she can unpack a profit-maximization problem or an exponential growth function by tying the calculus directly to the business logic behind it, not just the mechanics of solving it.

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.

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.

An economics degree from Brown gives Bryan a natural advantage when teaching business calculus — he already thinks in terms of cost functions, demand curves, and optimization because those were core to his own coursework. He breaks down derivatives and integrals by anchoring each one to the economic model it serves, so a profit-maximization problem reads like a business question first and a math problem second. Rated 5.0 by students.