Award-Winning College Algebra Tutors
serving Evansville, IN

I'm currently a Process Assistant at an Amazon warehouse, which is like an assistant manager. My job is interesting, active, and varied, but I missed tutoring and want to make math and other subjects as easy as possible to approach and grasp for students. With the right time and a commitment to tailoring a tutoring style for the person being assisted, any student can pass their classes and retain lifelong knowledge and experience. I'm looking forward to working with you!

Chemical engineering coursework is essentially college algebra on repeat — Joubert spent years solving material and energy balances that demand fluency with systems of equations, logarithmic relationships, and rational expressions under real constraints. He takes a methodical, why-behind-the-how approach, walking through the reasoning that makes a technique work so students can adapt it to unfamiliar problems instead of relying on pattern-matching. Rated 4.9 by students.

A legal education sharpens one particular habit that transfers directly to college algebra: reading a complex problem, identifying exactly what's being asked, and building a logical argument toward the answer. Bill applies that structured reasoning to topics like systems of equations and polynomial manipulation, walking students through each step so they understand the *why* behind the procedure rather than just mimicking it. His 4.9 rating and lifelong love of math back up the approach.

Biochemistry at Gonzaga meant Om was constantly rearranging rate equations, solving for unknown concentrations, and modeling enzyme kinetics — all tasks that drill exactly the polynomial, rational, and exponential manipulation at the heart of college algebra. That scientific context gives him a concrete answer when students ask "when would I ever use this?" Rated 4.9 by students.

Payal's biology coursework at Indiana University Bloomington kept her deep in algebraic problem-solving — modeling gene expression with exponential functions, linearizing data with logarithms, and untangling systems of equations in chemistry prerequisites. That constant back-and-forth between abstract algebra and real scientific applications means she can walk through topics like rational expressions or function transformations with concrete reasoning behind every step. Rated 4.9 by students.

A chemistry minor and human biology major at Indiana University means Jessica spent semesters translating real-world problems — drug dosage curves, reaction kinetics, growth models — into the algebraic language of exponentials, logarithms, and polynomial equations. That constant back-and-forth between science and math gives her a practical grip on college algebra concepts that purely abstract instruction often misses. Rated 5.0 by students.

Special education training builds a very specific teaching instinct — the ability to spot exactly where understanding breaks down and restructure an explanation on the fly. Katie applies that skill to college algebra topics like solving rational equations and working with logarithmic expressions, breaking each procedure into smaller, concrete steps that build on what a student already knows. Rated 5.0 by students.

I am currently a sophomore at the University of Notre Dame. I am majoring in Applied Mathematics and Statistics.

Rational expressions, systems of equations, and function transformations tend to be the sticking points in college algebra, and Kunal tackles each one by building up the logic behind the steps rather than just drilling procedures. His finance and information systems studies at Indiana University keep him working through algebraic structures daily, so the material stays sharp.

Triple-majoring in computer science, mathematics, and economics at IUPUI means Darren encounters college algebra concepts from three different angles — functions and logarithms in his CS coursework, formal algebraic structures in his math classes, and quantitative modeling in economics. That cross-disciplinary repetition gives him an unusually clear sense of how to unpack something like a tricky rational expression or a system of equations, because he's seen the same core idea show up in genuinely different contexts.

Studying Human Biology at Stanford with a concentration in game theory, Jake regularly works through the algebraic modeling that underpins strategic decision frameworks — optimizing functions, solving systems, and interpreting variable relationships in formal models. That active, applied use of algebra means he can walk through topics like rational expressions or exponential equations with the fluency of someone who relies on them, not someone recalling them from a past course. Rated 5.0 by students.

Mechanical engineering at Harvard means Christopher doesn't just remember college algebra — he's actively building on it every semester, using polynomial models, systems of equations, and logarithmic relationships as the foundation for thermodynamics and structural analysis problems. He's especially good at flagging the common pitfalls in topics like rational expressions and function transformations, walking through exactly where sign errors or domain mistakes tend to creep in before they snowball. Rated 4.8 by students.

A bioinformatics concentration at Stanford meant Matthew spent his coursework translating biological systems into mathematical models — the kind of work where manipulating exponential functions, solving systems of equations, and interpreting logarithmic transformations aren't abstract exercises but tools for analyzing real data. That top-down, interdisciplinary instinct carries into how he teaches college algebra: connecting each technique to a bigger picture so the logic sticks, not just the steps. His 1510 SAT and 4.9 rating back up the approach.

At Penn's Tutoring Center, Brittany worked with both undergraduate and graduate students, giving her a clear sense of how college-level algebra ramps up in pace and expectation. She tackles topics like polynomial functions, rational expressions, and systems of equations by connecting each new idea back to the algebraic reasoning students already have — just applied in more demanding contexts.

Polynomial functions, rational expressions, and logarithmic equations all click faster when you understand the reasoning behind each rule — and Jonathan's MS in Statistics means he uses algebraic tools daily, not just theoretically. He's currently deepening his math background with coursework at Columbia, so college-level algebra concepts stay sharp and accessible in his teaching.

Economics coursework at the University of Chicago means Ellie uses college-level algebra constantly — solving systems of equations, working with logarithmic and exponential functions, and manipulating matrices for applied models. She brings that daily fluency to sessions, connecting abstract algebraic techniques to problems students can actually visualize. Her 1520 SAT score speaks to the quantitative precision she carries into every topic.

Two-time Ocean County Math League champion and Princeton chemistry TA, Jon built his algebraic instincts through years of competition math before sharpening them further in graduate-level quantitative coursework — so when a college algebra student gets tangled in logarithmic equations or rational expressions, he can usually spot the misconception fast. His 33 ACT and chemistry master's mean he's comfortable attacking algebra from both the pure-math and applied-science sides, whichever clicks better for a given student.

Managing an immunology lab at Columbia means Matthew doesn't just remember college algebra — he's actively using exponential models, logarithmic data transformations, and systems of equations to analyze breast cancer research data every day. His physics degree built the formal mathematical foundation, while the lab work keeps it sharp and grounded in real applications, so he can show students exactly why a technique like logarithmic properties works the way it does.

Allen's interdisciplinary economics and political science program at Yale leaned heavily on quantitative modeling — building cost-benefit analyses, interpreting regression outputs, and manipulating the kinds of polynomial and logarithmic functions that form the backbone of any college algebra syllabus. A 1570 SAT and 5.0 tutoring rating back up his ability to break down problems like systems of equations or rational expressions into clear, logical sequences that make the algebra feel less like arbitrary rules and more like tools with a purpose.

The jump from high school algebra to college algebra trips students up when rational functions, logarithmic equations, and matrix operations all land at once. Steve breaks these topics down by connecting them to the engineering applications he works with daily — showing, for instance, how a system of equations models a real circuit or structure.

Engineering coursework at Cornell keeps Abby immersed in the algebraic mechanics that college algebra students are just encountering — she's solving systems, manipulating rational expressions, and working with exponential models in her engineering classes weekly. That daily fluency means she can zero in on the specific step where a problem goes sideways, whether it's a sign error in a logarithmic equation or a misread of function notation, and walk through the fix in real time. Rated 5.0 by students.

Judah's biology major at WashU means he's constantly solving algebraic problems in scientific contexts — modeling enzyme kinetics with rational functions, using logarithmic equations to calculate pH, and setting up systems of equations for dilution problems. That daily practice keeps techniques like function manipulation and exponential modeling sharp and grounded in something tangible, which makes a real difference when he's walking someone through an abstract textbook exercise.