Few finance tutors can draw on both a Duke economics and computer science background and hands-on experience at a Fortune 500 company. Sami breaks down concepts like discounted cash flow, capital structure, and risk-return tradeoffs by grounding them in the real corporate decisions he's encountered in consulting and in his Yale MBA 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.

Running a startup means David lives finance daily — building cash flow projections, valuing equity, and weighing capital structure decisions in real time. His UChicago MBA gave him the theoretical framework, but it's the hands-on work with DCF models, ratio analysis, and funding rounds that makes his explanations concrete and grounded.

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.

Time value of money, net present value, and capital budgeting all rely on the same core math — but finance courses layer on terminology that can obscure the underlying calculations. Rahi's triple engineering background means he's comfortable with the quantitative side and can quickly show students how to set up cash flow diagrams, discount rates, and amortization schedules from scratch.

A PhD in management gives Andrew a strong grasp of financial concepts like time value of money, capital budgeting, and risk-return tradeoffs. He breaks down quantitative problems step by step while connecting them to the broader business decisions they inform.

Present value, risk-return tradeoffs, capital structure — finance is where economic theory meets real decision-making. Ryan's economics degree provides the quantitative and conceptual backbone these topics require, and he's comfortable walking through everything from time-value-of-money calculations to interpreting financial statements. He holds a 5.0 rating from students.

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.

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.

Few finance tutors can walk through discounted cash flow models, capital structure theory, and portfolio risk the way someone who actually built those models on Wall Street can. Frank spent his career as a research executive in finance before transitioning to teaching, and he brings that practitioner's lens to graduate-level topics like valuation, time value of money, and financial statement analysis.

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.

I love helping students in topics related to math, to finance (public and private equity) and to engineering. I believe that if I can't explain concept, then I don't understand it. By that same token, if a student can't explain a concept back to me, then they don't understand it even if they say they do. I believe in getting to know all students, as their background is intricately connected with how they learn.