Quantitative finance / MS Finance
Prior experience
2 Years,
Financial Analyst
CFA progress
Level II
Candidate
Projects built
6
Best stock pick
Teradyne, Inc
Stock Doubled
About
What draws me to finance is chasing one question down to its root: what actually drives value, whether that's a stock's intrinsic price, a bond's exposure to rate shocks, or a portfolio's risk-adjusted return. Long term, I'm working toward the kind of judgment that pairs strong fundamentals with real rigor, the ability to hold a model against reality and trust the result only if it earns it.
I graduated from UMass Boston in May 2026 with an MS in Finance, Investment and Quantitative Analysis concentration. Before that, I spent close to two years as a Financial Analyst at Enterprise Logistics Private Limited in Mumbai, running P&L analysis, KPI dashboards, and quarterly audits for pharmaceutical logistics clients. I build in Python and Bloomberg Terminal now, and the six projects below are what that practice has produced so far.
Outside of finance, travel and fitness shape how I think about investing. Fitness rewards consistency over intensity, travel builds perspective, and I approach markets the same way: disciplined, long-term, and process-oriented.
MARKOWITZ PORTFOLIO
OPTIMIZATION
Optimized a 14-stock portfolio that beat the S&P 500 risk-adjusted
Built a mean-variance optimizer in Python using scipy's SLSQP solver, running 100,000 simulations to map the efficient frontier and solve Min Variance and Max Sharpe portfolios. Backtested both against SPY, QQQ, and XLK over 6 years.
FIXED INCOME DURATION
HEDGING & CONVEXITY
Duration hedge held P&L within $0.02 across ±3% yield shocks
Modeled bond pricing under flat-yield and term-structure discounting, then built a duration hedge offsetting a $1M bond position with a short in a second bond. Added convexity adjustments to show where linear hedging breaks down.
MONTE CARLO CORPORATE EARNINGS RISK (C-VAR)
Cut tail earnings risk from 8.89% to 3.04% via targeted hedging
Simulated a firm's pre-tax earnings using 4,000 Monte Carlo scenarios across FX, commodity, and rate exposures, then measured downside using 95% C-VaR. Aluminum price hedging delivered the largest risk reduction.
DISCOUNTED CASH FLOW (DCF)
VALUATION DASHBOARD
Interactive dashboard that prices any stock and stress-tests it 20,000 ways
Built a live DCF model in Python that pulls real-time financials and auto-calculates WACC via CAPM. Generates Bull/Base/Bear scenarios and a 20,000-iteration Monte Carlo simulation of intrinsic value.
SELL-SIDE EQUITY RESEARCH: TERADYNE (NASDAQ: TER)
Buy rating at $89.79 target, later validated by 100%+ appreciation
Produced an institutional-style equity research report using Bloomberg Terminal data, valuing the stock via EV/EBITDA against peer comparables. Combined with DuPont analysis, Porter's Five Forces, and ESG scoring.
MACROECONOMIC DRIVERS
OF THE S&P 500
OLS model explaining 92% of S&P 500 variation
Ran a log-linear OLS regression on 34 years of monthly macro data (GDP, CPI, unemployment, FDI). Unemployment and CPI emerged as the strongest statistically significant drivers.
Skills
Analysis & Modeling
Market Data & Research
Certifications
Professional Affiliations