20: Transforming the Real Estate Market with Predictive Analytics with Arian Osman from Homesnap

This week on The Data Stack Show, Kostas and Eric are joined by Arian Osman, a senior data scientist at Homesnap who is also nearing the end of his PhD in computational sciences and informatics and is the developer of an e-commerce clothing brand. Homesnap is designed for both homebuyers and agents to access data from the MLS (Multiple Listing Service), providing real-time, accurate information to all parties involved.

Highlights from this week’s episode include:

• Arian’s background and an overview of Homesnap (2:30)
• Utilizing data in Arian’s e-commerce clothing brand (7:14)
• Homesnap’s sell speed feature and visualizing outputs (13:28)
• The psychology that drives upper and lower limits (19:33)
• Deciding the life-cycle of a model (25:50)
• Collaborating with internal stakeholders (30:47)
• Unique challenges of data in the real estate domain (38:16)
• Useful third-party tools (43:33)

The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

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