Prabin Pandey
AI-Augmented Financial Analytics · Python · Investment Data Systems
MS Financial Analysis candidate at Temple University (Fox School of Business). I build quantitative financial systems — derivatives pricing engines, portfolio risk analytics, SEC document intelligence pipelines, and AI-integrated decision-support dashboards — with documented human validation at every AI-assisted step.
What I Build
Core Capabilities
Excel · Python · Claude AI
AI-Augmented Financial Modeling
Parallel WACC worksheets — one analyst-built, one Claude-assisted — enabling direct output comparison and model risk auditing. DCF, LBO, and PE exit models with scenario sensitivity analysis.
Python · yfinance · Pandas
Portfolio Risk & Performance Analytics
35-year fund analytics engine computing Sharpe ratio, max drawdown, alpha, beta, skewness, and Carhart 4-factor attribution. Live market data integration via yfinance API.
Python · NumPy · SciPy
Quantitative Derivatives Pricing
Black-Scholes implementation with full Greeks (Δ, Γ, Θ, ν, ρ), Monte Carlo GBM simulation (1,000 trials), CRR binomial trees (5,000× convergence analysis), and implied volatility calibration via bisection.
Python · BeautifulSoup · SEC
Financial Data Engineering
Multi-asset data alignment pipelines for NVDA, MSFT, SPY, and risk-free rate. SEC 10-K MD&A extraction from HTML filings (GOOGL, META, NFLX) using BeautifulSoup with regex parsing.
Streamlit · Power BI · Tableau
Interactive Decision-Support Systems
Three Streamlit dashboard versions (272 → 380 → 621 lines) with rolling factor analytics, returns histograms, multi-security scatter, and CSV export. Power BI FP&A dashboards and Tableau macroeconomic intelligence platforms.
Python · ECE Analysis · Claude AI
AI Governance & Model Risk Awareness
Benchmarked 9 LLMs: 84% exhibited systematic overconfidence; nominal 99% CIs covered only 65% of outcomes. Documented dual-validation framework — no AI output enters a financial deliverable without human sign-off.
Applied Analytical Work
Featured Systems
Production-grade models, dashboards, and analytics systems — click any card to explore.
Amazon.com — DCF Valuation & Segment Revenue Analysis
Built a full discounted cash flow model for Amazon.com, projecting free cash flows across its three business segments (AWS, Advertising, Retail), calibrating WACC from first principles, and computing an implied intrinsic value per share.
Private Equity Exit Strategy & Return Analysis
Models three exit scenarios — strategic sale, secondary buyout, and IPO — computing sponsor IRR, MOIC, and cash-on-cash returns at multiple exit years and exit multiples to optimize the hold-period decision.
Campus Operations Analytics Dashboard – Temple University
Enterprise Power BI dashboard built for Temple University Ambler campus operations. Analyzes visitor traffic patterns, seasonal trends, and resource utilization to support data-driven budget allocation decisions — applying the same BI principles used in financial planning & analysis (FP&A) at Fortune 500 companies.
Global Macroeconomic Intelligence Dashboard
Executive-grade Tableau dashboard benchmarking four major economies — China, India, Russia, and the USA — across five macroeconomic indicators spanning 34 years of World Bank data. Features dynamic parameter controls, LOD-calculated volatility metrics, and interactive cross-filter actions.
GenAI in Finance — AI-Augmented Financial Analytics & Portfolio Intelligence
Integrated financial analytics system applying generative AI across quantitative modeling, market risk analytics, SEC document intelligence, and interactive decision-support dashboards — with a documented AI governance framework embedded throughout.
S&P 100 Equity Return Analytics & Correlation Study
Python Preview
Processed 5 years of daily price data for 99 S&P 100 component stocks to compute log returns, rank performance, measure volatility, and construct a 99×99 cross-sectional correlation matrix with heatmap.
Black-Scholes Options Pricing Engine
Python Preview
Built a complete European options pricing calculator from the Black-Scholes closed-form solution, pricing both calls and puts across 101 stock-price scenarios and incorporating continuous dividend yields.
Testimonials
What People Say
Prabin ranks among the very top graduates of our MS in Financial Analysis program, with a rare breadth spanning investment banking, investment management, and advanced AI applications in finance. He has the acclaimed talent, drive, and creativity to thrive in today's demanding financial landscape. #TempleProud
Dr. John Soss
Faculty, Fox School of Business