Award-Winning Finance Tutors
serving Lancaster, PA

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.

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.

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!

I am a writer who works extensively with historical documents and researcher who embraces learning for life.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.

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.

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.

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 flow, and portfolio risk calculations all sit at the intersection of math and real-world decision-making — exactly where Xihao's training lives. His graduate-level statistics background means he can unpack the quantitative models behind corporate finance and investment analysis, not just walk through formulas.

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.

Rosie holds a bachelor's degree in finance, so concepts like time value of money, capital structure, and financial statement analysis aren't abstract textbook topics for her — they're the foundation of her academic training. She walks through valuation models and ratio analysis step by step, connecting the math to the business logic behind each calculation.

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.

Time value of money, discounted cash flow, and capital structure decisions are concepts Idara uses in her actual career — she's spent years in the finance industry after completing her MS in Management Science & Engineering at Stanford. She unpacks formulas like NPV and IRR by connecting them to real investment decisions, making the math feel purposeful instead of arbitrary.

Time value of money, present and future value calculations, annuity pricing — finance leans heavily on the kind of quantitative reasoning Irene has taught for years. She unpacks the math behind financial formulas so students understand what each variable actually does, rather than blindly plugging numbers into a calculator.

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.

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.

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.