kylettra@usc.edu
Real Estate Finance · Applied Analytics · AI
USC B.S. Real Estate Development · Minor, Finance & Applied Analytics

About Me

Kyle Tran

Kyle Tran is a commercial real estate analyst who builds his own tools — ARGUS Enterprise underwriting and institutional reporting, accelerated with Python, SQL, and agentic AI. He has underwritten a $250M multifamily portfolio, analyzed $500M+ in capital markets transactions, and ships the pipelines, dashboards, and AI workflows that let one analyst deliver what usually takes an analyst plus an engineer. USC B.S. Real Estate Development, August 2026. Available now for full-time CRE analyst roles.

What I Do

  • Real Estate Finance & Underwriting: DCF models from rent roll to stabilized NOI across a $250M multifamily portfolio; capital stack and debt-structure analysis on $500M+ in transactions (MRK Partners, CBRE Capital Markets, PMI Properties, Lever Capital Partners).
  • Applied Analytics & Data Systems: Python ETL pipelines that reconciled 269 underwriting workbooks and 193 capital approval records into one reporting database across Rexford Industrial's 409-property, 49.9M SF portfolio, cutting 3–5 hours of manual data prep per analyst each week; Power BI dashboards at MRK Partners that cut 15 hours per week from LP reporting.
  • AI Strategy & Workflow Development: Agentic workflows and MCP tools built with Claude and Microsoft Copilot Studio at Rexford Industrial — shipped independently and used daily to automate data cleaning and analysis.
  • Investment Analysis: $2.3M in expense-optimization opportunities identified through T12 utility cost variance analysis; quarterly bond-covenant compliance reporting across 25 assets, presented directly to the CFO.
  • Entrepreneurship: Founder of Santa Fe Botanicals, a DTC e-commerce brand — LLC formation, private-label manufacturing, unit economics, and paid acquisition, end to end.

From New Mexico to USC

I grew up in New Mexico, in a family that knew displacement and income discrimination firsthand — where access to resources, mentorship, and opportunity was scarce. The education system failed me, and for a while I failed inside it: I finished high school having failed most of my classes.

What never failed was the learning. With little support around me, I taught myself — sourcing my own materials, building my own projects, and treating every skill as something I could earn without permission.

USC took a chance on me and admitted me with university grants that covered my full tuition. I've treated that privilege as something to repay in effort ever since.

I finished my USC degree in August 2026 after three years working in Los Angeles commercial real estate: underwriting institutional multifamily portfolios, analyzing capital markets transactions, building data and AI systems for one of the country's largest industrial REITs, and running an e-commerce company I founded. The through-line hasn't changed: learn relentlessly, build practically, and turn scarce resources into results.

Technical Skills

🏢 Real Estate & Finance

ARGUS EnterpriseDCF & Waterfall ModelingCoStarYardiExcel (Power Query & VBA)

📊 Data & Analytics

Python (Pandas, NumPy)SQLPower BITableau

🤖 AI & Automation

Claude & LLM Agentic WorkflowsMCP (Model Context Protocol)Microsoft Copilot Studio

🔧 Web & Systems

React & Next.jsREST APIsPostgreSQLGit & GitHub