Powered by our Data Kit for SFR, Cherre is taking a deep dive into the trends, history, and data around private flippers, institutional investors, and iBuyers in the SFR market. What potential synergies exist between institutional investors and flippers? How will iBuyers fare in the new market cycle?

Don’t miss a rare chance to network with peers who actually “get it”.

The Cherre Data Summit is one of the only events that brings together the real estate industry’s technical leaders for a day of tech-focused discussion –

You may have heard us talk about Cherre’s real estate knowledge graph. But what is a knowledge graph, and why is it important?

Name: Kurayish Kurmanaliev

Hometown: Almaty, Kazakhstan

Joined: 21st September 2020

Department(s): Data Science

Spoken Languages: Kazakh,

Using explainable machine learning techniques, the insights team at Cherre has discovered major demographic drivers for housing prices in major metropolitan areas.

Core principles for dataset onboarding automation at Cherre: measure everything, optimize relentlessly, and deliver fast and often.

Owner Unmasking is an algorithm that identifies the true owners of a real estate property. It sits on top of Cherre’s Real Estate Knowledge Graph and the 2.0 version has achieved over 90% coverage across a variety of real estate asset classes, geographies, and portfolio sizes.

Background

As I mentioned in the blog post on our Owner Unmasking Algorithm, a knowledge graph is an abstract way to organize and analyze knowledge,

Name: Davida Kollmar

Hometown: Edison, NJ

Joined: April 2021

Department(s): Data Science

Spoken Languages: English,

Welcome to Cherre’s Data Science Blog Series where we will highlight some of the cool things we’re working on, as well as provide overviews on key data science principles.