About

Thanks for stopping by my page. I'm a student at New York University's Leonard N. Stern School of Business studying Business with concentrations in Finance and Data Science, alongside a B.S. in Computer Science.

I'm interested in the places where finance and technical work meet: macroeconomic research, financial modeling, market structure, and data systems that make complicated information easier to interpret.

At NYU, I'm involved with Stern Undergraduate Research, the Quantitative Finance Society, and the Business Analytics Club. My recent research work has focused on labor market data, BLS survey methodology, and the relationship between employment signals and monetary policy expectations.

Vihaan Narvekar

Selected Work

  • Conducted Stern Undergraduate Research on labor-market survey structure, wage-cycle inflection points, and monetary policy expectations.Writing sample
  • Built an NLP workflow for FOMC transcripts, tracking inflation and labor-market concern through central bank communication.
  • Created valuation, sensitivity, and three-statement forecasting work as an Investment Banking Intern in the Healthcare Group at Integrus Partners.
  • Researched the Southwest Energy O&M sector at Hevesta Capital, developing sourcing frameworks for acquisition targets.
  • Built finance-focused technical projects including a Black-Scholes option pricing visualizer and earnings surprise analysis.GitHub

Experience

NYU Department of Finance

Researcher, Monetary Policy Communication Risk Monitor

May 2026 - Present

NYU Stern Undergraduate Research

Undergraduate Researcher, labor market volatility and policy expectations

Sep 2025 - Jan 2026

Primerica

Incoming Data Science Analyst

Summer 2026

Integrus Partners

Investment Banking Intern, Healthcare Group

Aug 2025 - Oct 2025

Hevesta Capital

Private Equity Intern

Jul 2025 - Aug 2025

InspirEdu

Accounting Intern

May 2025 - Jul 2025

Education

New York University, Leonard N. Stern School of Business. B.S. in Business with concentrations in Finance and Data Science; B.S. in Computer Science. Cumulative GPA: 3.9/4.0.

Relevant coursework: Probability Theory, Data Science and AI, Futures and Options, and Multivariable Calculus.

Skills

PythonPandasscikit-learnTensorFlowRSQLC++Bloomberg TerminalS&P Capital IQExcel