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.

Conor earned his finance degree alongside his math degree at the University of Pittsburgh, so he tackles topics like discounted cash flow, portfolio theory, and capital structure with real mathematical fluency. He connects the formulas to the logic behind them, which makes valuation models and risk analysis click instead of feeling like rote plug-and-chug.

Time value of money, capital budgeting, WACC, portfolio risk — finance courses pile on quantitative concepts fast, and falling behind on one topic cascades into the next. Hari earned his MBA with a finance concentration and applies that depth to walk through DCF models, ratio analysis, and valuation methods with the precision students need to solve problems confidently on exams.

Michael's dual background in mathematics and finance means he doesn't just teach formulas like time value of money or CAPM — he unpacks the quantitative logic underneath them. From discounted cash flow analysis to portfolio risk calculations, he connects each concept to both the math and the real-world decision it informs.

Studying finance at the University of Illinois's College of Business, Jonathan unpacks concepts like time value of money, net present value, and basic portfolio theory with concrete, numbers-driven examples. He reads the Wall Street Journal daily, which means he can tie textbook formulas to what's actually happening in markets right now.

Currently working in the finance and investments industry, Hardik brings live context to topics like time value of money, DCF analysis, and capital structure decisions. He teaches the math behind NPV and IRR alongside the reasoning professionals actually use when evaluating deals, which bridges the gap between textbook formulas and how finance is practiced. Rated 5.0 by students.

Time value of money, DCF models, capital structure — Max doesn't just teach these concepts from a textbook. He's finishing his finance degree at Ohio State and heading into investment banking in Chicago, so he walks students through valuation and corporate finance problems the way practitioners actually think about them.

Political science trained Reid to think about how institutions, incentives, and policy shape economic outcomes — a lens that translates well to finance topics like risk assessment, time value of money, and capital allocation. He approaches financial concepts methodically, breaking formulas into the logic behind them rather than treating them as black boxes.

Having accepted a role as an investment management consultant, Adithya brings real-world financial fluency to topics like time value of money, portfolio diversification, and financial statement analysis. His economics training at St. Olaf grounds the math behind finance in clear, intuitive reasoning rather than rote formula application.

Bowen studied finance at the undergraduate level and brings that training directly into sessions on time value of money, discounted cash flow analysis, and portfolio risk assessment. He's especially sharp at walking through the logic behind formulas — why you discount at a particular rate, what beta actually measures — so students can solve problems they haven't seen before, not just replicate textbook examples.

Time value of money, discounted cash flow, and portfolio risk calculations all sit at the intersection of math and real-world decision-making — exactly where Xihao's training lives. His graduate-level statistics background means he can unpack the quantitative models behind corporate finance and investment analysis, not just walk through formulas.

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, capital budgeting, and risk-return tradeoffs aren't just textbook exercises for Benjamin — they were core to his Finance degree at Notre Dame. He connects formulas like NPV and IRR to real decision-making scenarios so the math carries meaning beyond the problem set. Rated 5.0 by students.