

How to Find Real Estate Deals Faster Using Data 99% of People Ignore
59 snips Jan 1, 2025
Ariel Herrera, a data scientist and real estate investor, shares her journey of merging data analysis with real estate to find profitable deals. She offers practical tools that don’t require coding, making data-driven insights accessible to novice investors. Listeners learn about utilizing equity for expanding portfolios, house hacking strategies, and identifying investment opportunities across state lines. Ariel emphasizes the importance of technology, including web scraping, for uncovering off-market deals and streamlining the property search process.
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Epiphany on the Bus
- Ariel Herrera had an epiphany while commuting, realizing she wanted more than her corporate job.
- This led her to explore real estate as a path to financial freedom and family time.
Unexpected Tech Journey
- Ariel's tech journey began unexpectedly with a VBA course, which sparked her interest in data science.
- She realized data science's potential to automate tasks and improve real estate analysis.
Data-Driven Market Analysis
- Use economic factors like job growth and population growth to analyze potential real estate markets.
- Source this data from government sites like the U.S. Census and Bureau of Labor Statistics.