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.
Featured Projects
Shopping Center Cross-Shopping Analysis
Utilize Placer's foot-traffic data to identify synergistic relationships between tenants in a shopping center. Insights like these can be used to plan for joint promotions, improve tenant mix, and improve the overall customer experience.
Read More
Portfolio Performance Analysis
Detailed analysis of portfolio performance. (Description to be updated)
Read More
SHOPCORE Portfolio Analysis
An analysis of the SHOPCORE portfolio, using various data analysis techniques.
Read More