Will Sigal
Investment & Asset-Management Analyst | Data-Driven Value-Creator
Data-Driven Real Estate Analysis
I transform messy real estate data into investable edge, combining classic financial modeling with machine learning to surface opportunities others miss. My analytics sharpen rent forecasts, guide hold-vs-sell decisions, and optimize tenant-mix strategies.
- $1B+ assets modeled
- 1M+ tenant reviews analyzed
- 400M+ foot-traffic data points processed
M.P.P., University of Chicago
B.A., USC (Political Economy, Magna Cum Laude)
What I'm Looking For
I'm Seeking an Investment / Asset-Management Analyst seat where I can sharpen classic investment-analyst muscles—DCF, budgeting, asset-level storytelling—while putting modern data science to work on real-estate questions that still get answered by gut feel.
Why you'd want me around
- I turn raw foot-traffic, rent-roll and market data into models that speed leasing and buy-side decisions.
- I'm genuinely curious, fast-learning and transparent — I document work so the whole team moves quicker.
- I'm equally comfortable in Excel and Python, switching tools to fit the task.
The dream seat
- Hands-on exposure to live deals and portfolio re-underwrites.
- A culture where ideas win because they improve returns, not because of job titles.
- Mentors who remember what it's like to be in Year 1 but still push for Year 10 output.
Core Expertise
- Capital Markets & Valuation – DCF, IRR, Monte Carlo risk, budgeting
- Machine Learning & NLP – PyTorch, geospatial clustering, review-sentiment pipelines
- Market Intelligence – Placer.ai, CoStar, census API mash-ups
- Portfolio Ops – Lease-abstraction automation, vendor & cap-ex oversight
Professional Experience
Operations Manager – NewMark Merrill Co.
Jan 2025 – Present
Run day-to-day ops for a 4-center retail portfolio, steering $750k in cap-ex and recapturing delinquent rent through data-backed tenant outreach.
Data Consultant – CRE Analytics
Jun 2024 – Present
Leading a small squad building NLP & ML tools—summarized 1M+ tenant reviews and benchmarked 1,000+ centers to sharpen site-selection calls.
Development Intern – Thomas Safran & Assoc.
Jun 2024 – Sep 2024
Applied ML to optimize unit mix and rolled out new portfolio software, boosting data visibility across affordable-housing projects.
