Award-Winning Finance Tutors
serving New Haven, CT

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.

I am a Junior at Yale University studying Psychology and Education Studies. I am very passionate about working with kids and pursuing a career in teaching, and my main goal is to help students achieve their full potential!

I am thrilled to share my passion for tutoring with you. With a diverse academic background and a deep understanding of test-taking strategies, I am dedicated to helping ambitious students excel in their studies and reach their full potential.

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.

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, 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.

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.

Two MBA programs — UCLA Anderson and London Business School — with a concentration in finance and investments gave Albert deep fluency in DCF modeling, capital structure theory, and portfolio analysis. He unpacks concepts like WACC, option pricing, and risk-return tradeoffs by tying them to real market scenarios rather than leaving them as textbook formulas.

An English degree might seem like an unlikely path into finance, but Andrew's economics tutoring experience and strong quantitative instincts — evidenced by a 1560 SAT and 35 ACT — mean he's comfortable breaking down the math that underpins topics like compound interest, loan amortization, and basic valuation. He approaches finance the way a careful reader approaches a text: pulling apart each component to see how the pieces fit together, which is especially useful for students who find purely formula-driven instruction hard to follow.

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.

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.

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, 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.

Andrew teaches finance as an adjunct professor, which means he's constantly explaining time value of money, capital budgeting, and risk-return tradeoffs to students encountering them for the first time. His engineering background adds a quantitative rigor that's especially useful when students hit DCF models or weighted average cost of capital calculations. Rated 4.8 by students.

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.

As a Finance major at NYU — one of the top undergraduate business programs in the country — Eric digs into time value of money, DCF valuation, capital structure, and portfolio theory every day. He translates dense quantitative concepts into intuitive explanations, and his statistics training means he's equally comfortable with the Excel modeling and probability work that finance courses demand.

Time value of money, discounted cash flow, and capital structure decisions are concepts Idara uses in her actual career — she's spent years in the finance industry after completing her MS in Management Science & Engineering at Stanford. She unpacks formulas like NPV and IRR by connecting them to real investment decisions, making the math feel purposeful instead of arbitrary.