Award-Winning Finance Tutors
serving Pittsburgh, PA

I am a writer who works extensively with historical documents and researcher who embraces learning for life. I love making a subject engaging, interesting and ultimately seeing others succeed in their endeavors.

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.

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.

I'm a graduate of Robert Morris University where I earned my BSBA in Economics and Finance. After graduating from RMU I attended Johns Hopkins University where I earned my MA in Applied Economics. My interests lie in the fields of banking, energy, healthcare, and public policy.

I am an experienced teacher with over 7 years' experience teaching a variety of ages and subjects. My areas of expertise include ESL, writing, music, and the general education curriculum. Outside of teaching, I spend my free time hiking, reading, doing yoga, and playing with my dog. I look forward to working with you!

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.

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.

Time value of money, DCF models, capital structure — Max doesn't just teach these concepts from a textbook. He's finishing his finance degree at Ohio State and heading into investment banking in Chicago, so he walks students through valuation and corporate finance problems the way practitioners actually think about them.

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.

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.

Having earned his B.A. in Finance from UGA, Jon studied the core curriculum — financial statement analysis, corporate valuation, and capital markets — firsthand rather than picking it up secondarily through adjacent fields. He teaches budgeting frameworks and ratio analysis by connecting each concept back to the accounting and statistics coursework that underpins them, giving students a clearer picture of how the pieces fit together.

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.

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.

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.

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.

Currently working in the finance and investments industry, Hardik brings live context to topics like time value of money, DCF analysis, and capital structure decisions. He teaches the math behind NPV and IRR alongside the reasoning professionals actually use when evaluating deals, which bridges the gap between textbook formulas and how finance is practiced. Rated 5.0 by students.

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.