Highlights
Beyond the desk
Financial Consulting Case Comp
Financial Consulting Case Comp
Finance · Research · Quantitative Reasoning
I'm Saeed, a finance professional pursuing an MS in Finance, working at the intersection of capital allocation, fundamental analysis, and data-driven decision making.
About
I grew up in Patna, India, where access to information and capital was limited but ambition wasn't. That experience shaped how I think about finance: not as an abstract subject, but as a system that determines how opportunity is distributed.
Today, I focus on understanding how businesses create value over time, how capital flows through markets, and how disciplined analysis can separate signal from noise. My approach is grounded in fundamentals, careful reasoning, and an appreciation for risk over prediction.
I've worked across venture investing, mortgage underwriting, commercial real estate modeling, and early-stage startup finance, each role sharpening my ability to evaluate businesses, assess risk, and think in terms of long-term outcomes.
Experience
Each role sharpened a different dimension of how I think about capital, risk, and long-term value.
Supported investment decisions by conducting due diligence on 20–30 early-stage companies per cycle — performing financial modeling, market sizing, competitive benchmarking, and scenario analysis to evaluate scalability, valuation drivers, and downside risk.
Built multi-scenario operating forecasts analyzing revenue growth, margin expansion, and cash runway. Prepared structured investment memoranda for IC discussions. Conducted founder diligence calls to assess business defensibility and capital allocation discipline.
Executed credit analysis on $500MM+ of residential mortgage transactions, evaluating income stability, leverage metrics, collateral quality, and repayment capacity within FNMA and Freddie Mac frameworks.
Assessed DTI ratios, LTV metrics, and asset documentation to quantify default risk. Resolved 300+ complex underwriting exceptions while maintaining zero compliance breaches and audit-ready credit files.
Built Excel-based financial models for 120+ U.S. commercial real estate transactions, projecting property-level cash flows, CapEx, financing structures, and exit assumptions to evaluate IRR, equity multiples, and DSCR.
Performed multi-variable sensitivity analysis on cap rates, rent growth, vacancy, and interest rates. Modeled capital structures, debt sizing, amortization schedules, and refinancing scenarios for underwriting decisions.
Supported financial planning at an early-stage startup, developing forward-looking revenue and cost projections, incorporating pricing assumptions and funding constraints to inform budgeting and growth decisions.
Conducted cost structure analysis and market research to evaluate pricing sensitivity, competitive positioning, and margin sustainability within a resource-constrained environment.
Areas of Focus
Three areas that connect my curiosity about how value is created, measured, and compounded over time.
How capital is deployed across sectors and market cycles. I study the interplay between valuation, risk appetite, and market structure to understand what drives allocation decisions at scale.
Studying businesses through documented investment theses and tracking how fundamentals evolve against expectations. The emphasis is on learning from outcomes, not predicting them.
Using Python and data-driven tools to build models, run simulations, and stress-test assumptions. Turning analytical intuition into something measurable and repeatable.
Projects
Individual projects across equity research, quantitative analysis, financial modeling, and market research.
Full equity research with a BUY recommendation. Covers the fast-casual industry tailwind, CAVA's unit economics approaching Chipotle-level returns, self-funded growth via 415+ stores, and a runway to 1,000+ locations. Includes public comps, EV/Revenue and EV/EBITDA valuation.
Bear case for Eli Lilly at 52x P/E. Analyzes Mounjaro/Zepbound concentration risk, the $7B Trulicity patent cliff, competitive threats from Novo Nordisk and Amgen, regulatory risks including GLP-1 safety alerts, insider selling, and oral pipeline uncertainty.
Comprehensive model with full income statement data capture (FY2023–FY2026), segment-level analysis, and a detailed DCF valuation with multi-scenario operating assumptions. Built in Excel with structured financial statement modeling.
Python-based quantitative investing project implementing RBSA to decompose portfolio returns into factor exposures. Applies constrained regression to understand how fund returns map to underlying asset class benchmarks. Built for a quantitative investing course.
Python-driven research analyzing the relationship between Fed rate policy and U.S. real estate outcomes. Explores how rate hikes transmit through mortgage costs, property valuations, and transaction volumes using historical data and statistical methods.
Detailed leveraged buyout and discounted cash flow models from Financial Edge coursework. Covers debt scheduling, waterfall returns, entry/exit multiples, and sensitivity tables for enterprise valuation across different capital structures.
In ProgressMarket research report supporting due diligence on an energy sector startup. Covers market sizing, competitive landscape, regulatory environment, unit economics, and investment thesis framing for the energy transition space.
In Progress5-year growth and transformation strategy for a global private wealth manager facing a generational shift, margin crisis, and talent departure. Built the financial model with scenario analysis across four stress cases.
Highlights
Get in Touch
Whether you'd like to discuss my work, explore opportunities, or have a conversation about markets and investing, I'd like to hear from you. Based in the U.S. and open to global opportunities.