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.

Ariel Herrera, data scientist and real estate investor, shares tips on using data to improve real estate investments. They discuss the power of coding and data analysis, using tools like Redfin and chat GPT. They also talk about analyzing real estate deals, finding deals in Tampa, Florida, and utilizing web scraping for off-market deals.

Data scientist Ariel Herrera shares crucial tips on using data analysis to uncover hot real estate markets and deals. Topics include choosing market data points, leveraging AI for research, and creating a 'map' of up-and-coming areas. Learn how to analyze census tracts, define a 'buy box,' and incorporate personal preferences for successful investing strategies.