Real Estate · Credit · Real Assets
I'm Saeed, a real estate and credit analyst finishing an MS in Finance at the Simon Business School. 120+ U.S. CRE acquisitions modeled, 2,000+ mortgage files underwritten, and original regression research on how interest-rate regimes reprice REITs and infrastructure.
About
I grew up in Patna, India, where capital was scarce and access was rationed, so I learned to read a balance sheet before I learned to read a market. Before I finished undergrad I co-founded VHelpp, a service-marketplace startup we grew across two Indian cities to 100+ onboarded professionals, raised a friends-and-family round for, and sold. I ran the projections and the fundraise. That was my first real lesson in how capital actually moves.
Since then I've built my edge in real assets and credit. At Gallagher & Mohan I underwrote U.S. commercial real estate from the ground up (DCF models, cap rates, DSCR, and distribution waterfalls) across the lending and PE mandates the firm runs for sponsors, lenders, and REITs. At Better Mortgage I underwrote residential credit at scale, sharpening my collateral and default lens, including through the 2025 Los Angeles wildfires. Now, at the Simon School Venture Fund, I'm applying that underwriting discipline to live investment decisions.
What ties it together: I've seen the same deal from the debt seat, the underwriting seat, and the investment seat. My work stays grounded in cash flows, collateral, and how interest rates move the value of real assets, not prediction.
Experience
Private real-asset underwriting, residential credit, and live investing. Each seat sharpens how I read cash flows, collateral, and risk.
Led diligence on two early-stage companies, including a renewable-energy venture, running market sizing, competitive analysis, and multi-scenario models to pressure-test each thesis and surface the key risks for the team.
Presented findings to the fund's investment board, issuing a no-go recommendation on one opportunity and a conditional recommendation on the other, weighed on valuation, market timing, and risk-adjusted return.
Personally underwrote 2,000+ residential mortgage files ($250M+ in aggregate), evaluating borrower income, assets, and credit risk against Fannie Mae guidelines across jumbo, non-conforming, and cash-out refinance profiles.
Underwrote California applications during the January 2025 Los Angeles wildfires, applying heightened risk analysis and revised property valuations to assess collateral integrity on fire-affected assets and inform credit decisions.
Built five-year financial projections and operating models that senior leadership adopted to guide budgeting and investment prioritization across product lines.
Led cost-structure analysis that cut annual operating expenses by roughly $8,000 (≈12%).
Underwrote 120+ U.S. commercial real estate acquisitions (multifamily, industrial, warehouse, and commercial) for the PE sponsors, lenders, and REITs the firm serves across both lending and buy-side mandates. Built dynamic 10-year DCF models evaluating NOI, cap rates, DSCR, levered IRR, equity multiples, and going-in vs. exit cap spreads across multiple exit scenarios.
Modeled investor distribution waterfalls and cash-on-cash returns across diversified CRE portfolios exceeding $100M in aggregate value, supporting equity-return analysis, scenario testing, and recommendations delivered to senior partners.
Areas of Focus
Three connected ways of looking at the same question: how value in real assets is created, financed, and repriced.
Underwriting property cash flows from acquisition to exit: NOI, cap rates, DSCR, IRR, and the distribution waterfalls that decide who actually gets paid. How a deal pencils, not how it's pitched.
Reading borrowers, collateral, and downside the way a lender does. From residential to commercial, I focus on what survives stress: default risk, recovery, and the integrity of the asset behind the loan.
How interest-rate regimes reprice REITs, infrastructure, and real estate. I build the regressions and valuation work to find where the market's rate lens misprices drawdown risk and growth.
Projects
Centered on real estate, credit, and rate-driven real-asset research, with supporting range in quantitative analysis and equity research.
Python research using OLS and ARDL regressions across 93 monthly observations (Jan 2015–Mar 2026) to quantify the rate sensitivity of REIT and infrastructure ETF returns. Identified a post-2022 regime shift where rate betas ran 1.5–2.5× higher than full-sample estimates, then layered sector-level DCF and Gordon Growth valuations across five rate scenarios (FRED, yfinance) to flag mispriced drawdown risk.
Buy-side long thesis arguing that secular AI-capex demand and power-constrained supply drive an AFFO-growth and pricing-power story the market's rate-sensitivity lens underweights. Grounded in original regression showing data-center REITs behave anomalously versus the broader REIT complex, with valuation framed through DCF and AFFO-multiple analysis.
In ProgressPython project implementing RBSA to decompose portfolio returns into factor exposures, using constrained regression to map fund returns onto underlying asset-class benchmarks.
Leveraged-buyout and DCF models covering debt scheduling, returns waterfalls, entry/exit multiples, and sensitivity tables for enterprise valuation across different capital structures.
In ProgressEquity research with a BUY recommendation. Covers the fast-casual tailwind, CAVA's unit economics approaching Chipotle-level returns, self-funded growth via 415+ stores, and a runway to 1,000+ locations, with public comps and 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, competition from Novo Nordisk and Amgen, GLP-1 regulatory and safety risk, insider selling, and oral-pipeline uncertainty.
Model with full income-statement capture (FY2023–FY2026), segment-level analysis, and a detailed DCF valuation with multi-scenario operating assumptions, built in Excel with structured financial-statement modeling.
5-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.
Diligence on an energy-sector startup: market sizing, competitive landscape, regulatory environment, unit economics, and investment-thesis framing for the energy-transition space.
In ProgressGet in Touch
Whether you'd like to talk real estate, credit, and how rates are repricing real assets, or about a role, I'd like to hear from you. Based in the U.S. and open to opportunities.