Neal Bawa’s first brush with real estate came in 2003, when Neal and his business partner decided to build a campus for their booming tech company. After that, he realized that his taxes were going down because he could write off the building’s depreciation. His “math brain” began going crazy wondering how he could scale those tax benefits, and after the 2008 housing crash, he put his data science background to work.

Here’s the information that Neal used to find his investment properties:

• Job, income, and population growth to gauge how popular the market is.
• Construction policy that may promote or hinder new housing supply.
• Types of properties available in the market and how they meet renters’ demands.

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