Award-Winning Finance Tutors
serving Scranton, PA

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!

I am a writer who works extensively with historical documents and researcher who embraces learning for life.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

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.

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.

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, 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.

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.

Bowen studied finance at the undergraduate level and brings that training directly into sessions on time value of money, discounted cash flow analysis, and portfolio risk assessment. He's especially sharp at walking through the logic behind formulas — why you discount at a particular rate, what beta actually measures — so students can solve problems they haven't seen before, not just replicate textbook examples.

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.

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.

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.

A double accounting degree gives Tony the financial statement fluency that underpins every finance concept — from time value of money calculations to capital budgeting and ratio analysis. He connects finance theory back to the underlying accounting data, so students actually understand where the numbers come from before learning what to do with them.

Time value of money, capital budgeting, and risk-return tradeoffs aren't just textbook exercises for Benjamin — they were core to his Finance degree at Notre Dame. He connects formulas like NPV and IRR to real decision-making scenarios so the math carries meaning beyond the problem set. Rated 5.0 by students.