Award-Winning Finance Tutors
serving Kennewick, WA

Maria approaches finance through the quantitative lens her Applied Mathematics background provides, breaking down concepts like time value of money, DCF analysis, and risk-return tradeoffs with real numerical rigor. She's particularly effective at walking through the math behind valuation models that trip up students who came to finance from a non-quantitative path.

Intensely curious, I am interested in STEM subjects and the liberal arts. I tutor to help you reach your educational goals and because it's immensely gratifying to see my students succeed.

As a finance major at Ohio State, Christopher doesn't just teach formulas like NPV and CAPM — he unpacks the logic behind them so students understand when and why each tool applies. Whether the topic is capital budgeting, risk-return tradeoffs, or reading a cash flow statement, he ties concepts back to actual business decisions. That grounding in practical application makes even the most formula-heavy chapters easier to internalize.

Time value of money, DCF analysis, capital structure — finance is applied math with real stakes, and Sean's background covers both sides. His mathematics degree provides the quantitative rigor for building and interpreting financial models, while his MBA training grounds every calculation in the business decisions it's actually meant to inform.

An economics degree provides exactly the quantitative backbone that finance concepts demand — present value calculations, risk-return tradeoffs, and interpreting financial statements all build on economic reasoning. Jessie connects these topics to the underlying models students encounter in corporate finance and investment analysis, making formulas feel purposeful rather than abstract.

Joyce is finishing her Finance degree at Penn, which means concepts like DCF modeling, capital structure, and portfolio theory aren't abstract textbook topics for her — they're problems she works through weekly. She breaks down the math behind valuation and risk analysis so the formulas actually make intuitive sense.

Studying finance at NYU Stern means Sean tackles concepts like DCF modeling, capital structure, and portfolio theory in his own coursework every week. He breaks down topics such as time value of money and financial statement analysis by tying them to real company data, making abstract formulas feel grounded. His accounting background adds depth when sessions touch on how financial reports drive investment decisions.

Hanna earned her B.S. in Finance from NYU, where she studied financial modeling, valuation, and capital markets in one of the country's top business programs. She unpacks concepts like time value of money, risk-return tradeoffs, and financial statement analysis in concrete terms that connect theory to real decision-making. Her dual background in finance and premed gives her a uniquely analytical lens for tackling quantitative coursework.

Time value of money, net present value, and portfolio risk calculations are ultimately math problems dressed in business language. Romeo's mathematics degree and PhD-track training give him the quantitative fluency to break down discounted cash flow models and amortization schedules so the numbers actually make sense. He connects each formula to the financial decision it's designed to answer.

Alex co-majored in Finance and International Business, which means topics like foreign exchange risk, cross-border capital flows, and multinational financial planning weren't electives — they were the core of his degree. He teaches financial concepts by linking them to the global business context that makes them relevant, whether it's hedging strategies or interpreting how currency fluctuations affect valuation. Rated 5.0 by students.

A double accounting degree gives Tony the financial statement fluency that underpins every finance concept — from time value of money calculations to capital budgeting and ratio analysis. He connects finance theory back to the underlying accounting data, so students actually understand where the numbers come from before learning what to do with them.

Time value of money calculations — present value, future value, NPV — trip students up because the formulas look similar but apply to very different decisions. Mustafa unpacks each one by tying it to a concrete scenario, like evaluating a loan or comparing investment options, so the math has context. His cross-disciplinary background in economics and law gives him a practical lens on corporate finance and capital budgeting topics.

As a finance major in Villanova's Honors Program, Jenna digs into the concepts students find most intimidating — time value of money calculations, DCF modeling, WACC, and capital structure decisions. She connects textbook formulas to the reasoning behind them, so students can set up problems from scratch instead of hunting for which equation to plug numbers into.

Time value of money, DCF analysis, capital structure — Vignesh isn't just studying these concepts, he's living them as a finance major at the University of Georgia. That proximity to the coursework means he knows exactly which formulas professors emphasize and where students typically lose points on problem sets. He breaks down financial modeling step by step so the logic behind each calculation is clear.