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.

As a CFA candidate with an economics degree and a background in financial accounting, Ezra lives in the world of time value of money, capital budgeting, and portfolio theory daily. He unpacks concepts like NPV, IRR, and risk-return tradeoffs by grounding the math in real decision-making scenarios rather than leaving students to memorize formulas. Whether the course leans corporate finance or investments, he knows the material from both the academic and practitioner side.

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.

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.

Elliot is heading into financial markets after graduating from UChicago's economics program, so concepts like time value of money, portfolio theory, and capital structure aren't abstract textbook topics for him — they're the tools of his upcoming career. He unpacks financial models step by step, connecting the math to real market behavior.

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, 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.

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.

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.

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.

As a CFA candidate with an economics degree and a background in financial accounting, Ezra lives in the world of time value of money, capital budgeting, and portfolio theory daily. He unpacks concepts like NPV, IRR, and risk-return tradeoffs by grounding the math in real decision-making scenarios rather than leaving students to memorize formulas. Whether the course leans corporate finance or investments, he knows the material from both the academic and practitioner side.

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.

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.

Elliot is heading into financial markets after graduating from UChicago's economics program, so concepts like time value of money, portfolio theory, and capital structure aren't abstract textbook topics for him — they're the tools of his upcoming career. He unpacks financial models step by step, connecting the math to real market behavior.

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, 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.

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.

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.