Award-Winning Finance Tutors
serving Santa Ana, CA

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.

Pursuing a joint MD/MBA, Sagar brings a quantitative rigor to finance topics like time value of money, capital budgeting, and ratio analysis that many business-only tutors lack. He walks through problems by building intuition around why formulas work, so students can adapt when exam questions change the setup.

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.

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.

Magnus earned his M.S. in Finance from UVA and now works as a Financial Analyst at an international law firm in New York. He breaks down concepts like DCF valuation, capital structure, and risk-return tradeoffs using real-world deal scenarios that make the theory click.

Holding an MBA in Finance, Darien digs into the mechanics behind concepts like time value of money, capital budgeting, and portfolio risk rather than just walking through formulas. He connects each topic to real decision-making — why a company chooses debt over equity, or how discount rates change an investment's attractiveness. Students walk away understanding the reasoning that drives financial models, not just the spreadsheet outputs.

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.

A chemistry background might seem unrelated to finance, but Ankit's heavy quantitative training — differential equations, statistics, and data modeling — maps directly onto the math that drives concepts like compound interest, bond pricing, and amortization schedules. He approaches financial formulas the way a scientist approaches equations: by breaking each variable down until the underlying logic is clear, not just memorized.

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.

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.

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.

Time value of money, discounted cash flows, and risk-return tradeoffs all come down to applied math — exactly where Nikhil thrives. As a mathematics major at NYU with economics coursework, he connects financial formulas to the underlying logic so students can adapt to new problems on exams instead of relying on memorized shortcuts.