Join us as we embark on a journey through the multifaceted world of real estate investing, exploring how extreme ownership and data analytics play pivotal roles in forging success. Our guest, Ariel Herrera, a seasoned investor and data scientist, shares her transition from traditional analysis to a tech-driven approach, leveraging tools like the US Census and Zillow Data Center to uncover hidden gems in the property market. She underscores the significance of demographic and economic data in pinpointing areas with high growth potential. You'll be inspired to hear about Ariel's methods for improving tenant screening and property listings post-pandemic, demonstrating that challenges can become opportunities for enhancement.
Listen in as we discuss the strategic expansion of a diverse real estate portfolio, ranging from house hacking in New Jersey to acquiring international properties in Playa del Carmen, Mexico. We tackle the benefits and complexities of investing sight unseen, the shifts towards favorable tax regions, and the essential practice of working with trusted partners abroad. Moreover, we delve into the operational nuances of managing multiple properties across various regions, the increasing reliance on property managers, and the upcoming integration of innovative software solutions aimed at simplifying investor workflows.
In our final chapter, we examine the power of a buy-and-hold-forever strategy, reduced operational risks, and the advantages of leveraging property for borrowing. I share insights into using cutting-edge tools like Python, Tableau, and GPT for data analysis, making it accessible to those without a coding background. We also look at how technologies such as Rouse AI can automate data collection, and introduce Coffee Closers, an app that aids investors in scouting deals in up-and-coming areas. Whether you're a seasoned investor or just starting, you'll learn the importance of data-driven decision-making and discover resources to help you stay ahead in today's competitive real estate landscape.
(00:00) Data Analytics in Real Estate Investing
(11:56) Real Estate Investing and Portfolio Expansion
(20:38) Real Estate Investment Strategies and Analysis
(30:46) Assessing Rental Properties and Importance of Data in Investing
(37:38) Data-Driven Decision Making in Real Estate
About Ariel Herrera
Ariel is a professional Data Scientist and seasoned buy and hold real estate investor.
She previously led a data science & analytics team in Operations & Automation at AppFolio and developed AI & ML models at other companies such as Deutsche Bank, Accenture, and Calendly.0
Her passion for data analytics and real estate started when she tried to evaluate her first property in 2019.
Ariel soon discovered information was limited so she started her own
YouTube channel, Tech in Real Estate, to share her journey on bridging the gap between real estate and data analytics with Python.
Now, Ariel is helping real estate investors to find the cash flowing deals in up-and-coming areas with Coffee Clozers.
- Coffee Clozers - https://bit.ly/3EJRAa5
- Tech in Real Estate YouTube - https://www.youtube.com/@TechInRealEstate
- Notion Profile - https://bit.ly/3u4fURG
- LinkTree - https://linktr.ee/AnalyticsAriel
Real Estate Investing, Data Analytics, Property Deals, Tenant Screening, Property Listings, Portfolio Expansion, Tax Regions, Property Managers, Technology, Data Science, Buy-and-Hold-Forever, Python, Tableau, GPT, Coffee Closers, Multifamily Rental Properties, Cash Flow, Appreciation, Data-Driven Decisions
@hackingrepod
