Award-Winning Finance Tutors
serving Concord, NC

I am Professor Florence. I teach at USC, UCSB, Pepperdine University, CSUN, Cal Tech, and other Universities. I received my bachelor's in Math and Psychology at UCLA, Ph.D. work in Engineering at Virginia Tech, and MBA in Marketing and New Venture Management at USC. I graduated at the top of my class, Phi Beta Kappa, Magna Cum Laude, Highest Honors, full fellowships, and more. I am an expert on:

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.

Mo earned his B.S. in Finance, so concepts like time value of money, DCF analysis, and capital structure aren't abstract formulas to him — they're the core language of his training. He breaks down financial statements and valuation models step by step, connecting each calculation to the real business decision it informs. Rated 4.9 by students.

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.

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, 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.

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.

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.

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.

Kaela's background spans financial accounting and economics, which means she can connect finance concepts like time value of money, risk-return tradeoffs, and capital budgeting to the broader economic logic behind them. She breaks down quantitative problems step by step while making sure students understand the real-world decisions those numbers represent. Rated 5.0 by students.

An economics degree provides exactly the quantitative backbone that finance concepts demand — present value calculations, risk-return tradeoffs, and interpreting financial statements all build on economic reasoning. Jessie connects these topics to the underlying models students encounter in corporate finance and investment analysis, making formulas feel purposeful rather than abstract.

Marissa's academic background sits right at the intersection of accounting, finance, and business administration, which means she can explain concepts like time value of money, capital budgeting, and financial statement analysis with real numerical fluency. She walks through problems step by step, connecting formulas to the business logic behind them so students understand when to apply each tool. Her math strength makes the quantitative side of finance far less intimidating.

Having worked as a summer associate at a major New York law firm, Patrick encountered corporate finance concepts — capital structure, valuation, risk assessment — in their natural habitat rather than just in a textbook. He unpacks topics like time value of money, DCF analysis, and portfolio theory by connecting the math to the business decisions behind it. His dual background in law and history also gives him a useful lens on financial regulation and market behavior.