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.

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.

A master's in Finance means Alex can dig into time value of money calculations, capital budgeting, and portfolio theory with real fluency — not just textbook definitions. He connects financial models to how actual firms make investment and funding decisions, which makes concepts like WACC and DCF analysis click faster.

Time value of money calculations — present value, future value, NPV — trip students up because the formulas look similar but apply to very different decisions. Mustafa unpacks each one by tying it to a concrete scenario, like evaluating a loan or comparing investment options, so the math has context. His cross-disciplinary background in economics and law gives him a practical lens on corporate finance and capital budgeting topics.

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.

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.

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.

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.

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.

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.

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.

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.

Time value of money, DCF analysis, capital structure — finance is applied math with real stakes, and Sean's background covers both sides. His mathematics degree provides the quantitative rigor for building and interpreting financial models, while his MBA training grounds every calculation in the business decisions it's actually meant to inform.

Time value of money, discounted cash flows, and capital budgeting can feel abstract until someone walks you through the logic behind each formula. Brock's economics degree gives him the quantitative grounding to explain not just how to calculate NPV or IRR, but why those metrics matter for real financial decisions. Rated 5.0 by students.

As a finance concentration at NYU Stern, Joseph lives this material — time value of money, DCF analysis, capital structure, and portfolio theory aren't just exam topics for him but tools he uses in coursework and case competitions. He breaks down quantitative concepts step by step so students build real intuition for how financial decisions get made.

Working at a healthcare startup means Ilyas lives finance — capital budgeting, cash flow analysis, and valuation aren't textbook abstractions for him. His UC Berkeley finance degree provides the academic foundation, while his professional experience lets him explain concepts like time value of money and risk assessment through scenarios students can actually picture.

I hold a Master's degree in Finance from Harvard University, where I developed a strong foundation in analytical thinking and problem-solving. With over 2 years of tutoring experience, I specialize in business and finance, and I am passionate about making complex concepts accessible to my students. My teaching approach emphasizes real-world applications and interactive learning, which fosters a supportive environment where students feel encouraged to ask questions and explore their ideas. Witnessing a student's moment of clarity is incredibly rewarding, and it fuels my commitment to education. Outside of tutoring, I enjoy engaging with sports, both as a participant and a spectator, which enriches my perspective and allows me to connect with students on various levels.

I'm a current junior studying Computer Science at the Engineering School at UCLA. Most recently, I interned as a Software Engineer at Adobe. My emphasis is on computer science, math, and physics. Reach out to me and say hi!

I am working as a Cross-border consultant and consult for businesses who want to get into the Chinese market and do business with Chinese companies. Language and culture is a big part of my life both professionally and personally. My articles in mandarin have been published in multiple newspapers and magazines when I was studying in China. Chinese literature and history have always been my greatest passion. I want to help everyone really understand the Chinese culture and learn to use this beautiful language to express themselves whenever they are traveling, studying, doing business with Chinese. I am really good at other subjects too, I passed the GMAT exam with 99% math/quantitative section. Math has always been one of strongest academic subject too. Tutoring is a great responsibility, further to me it can also be one of life's most rewarding experiences. I am naturally attracted to different cultures and love to share mine with everyone. I was also a Junior Olympian (swimmer) for 8 years and love to go outdoors as I love nature.

I am a firm believer of this and, as such, I do not spoon feed students during sessions but rather guide them to figure out how to answer their own questions and solve their own problems. Thus, I focus not only on what to do, but how and why to do it. One of the most significant drivers of independent learning is curiosity, and this is one of the primary traits I aim to cultivate in students.

I am a young finance professional with a Bachelor of Science Honors degree in Finance from the University of Connecticut School of Business. I have levels 1 and 2 of the CFA and am working towards level 3.

I'm currently a senior in college at Long Island University Brooklyn studying for my BBA in Finance I've been tutoring since I was 12 years old and have worked with major tutoring companies such as KUMON and Mathnasium. I have also completed the KUMON Math program. I love tutoring and love kids! I'm a very patient tutor and know how to work with students of all ages! I'll be starting my job working on Wall Street after my graduation this Spring!

I'm not tutoring, I work in theatre and film (everything ranging from The Muppets and musical comedy to more serious stories grounded in history), and have been involved with productions on Broadway, at Carnegie Hall, and at additional venues throughout the country. I love to travel, and feel fortunate to have worked on projects that have taken me to Africa and England. I recently returned to New York (where I was born and raised), and am excited to "pay it forward" to the next generation, helping students reach their full potential.