previously on data science

Employee Spotlight: Davida Kollmar

Name: Davida Kollmar

Hometown: Edison, NJ

Joined: April 2021

Department(s): Data Science

Spoken Languages: English,

Cherre Data Science: Owner Unmasking Algorithm

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.

60+ Top PostgreSQL Tools

PostgreSQL, or Postgres for short, comes with many out-of-the-box features that make it very popular among developers and data engineers.

Best Practices for Enterprise Data Warehouse Governance

In an advancing age of improved data analysis, more and more enterprises are adopting business intelligence and analytics tools to benefit the company.

KDD 2020: Data Science for the Real Estate Industry

In August 2020, Cherre’s CTO Ron Bekkerman presented a tutorial on Data Science for the Real Estate Industry in collaboration with Foster Provost (NYU/Compass),

Building a Knowledge Graph Using Messy Real Estate Data

Building an effective knowledge graph requires a combination of technical skills (data science and data engineering) and domain knowledge. These skills are especially important when trying to build a knowledge graph for commercial real estate data as it has many unique challenges to construct.

How to Change a City with Data Science

Check out this great talk from our friends at Two Sigma!

Ben Wellington is a Quantitative Analyst at Two Sigma and the creator of I Quant NY,

Employee Spotlight: Chris Compeau

Department(s): Engineering and Data Science

Name: Chris Compeau

Joined: 2018

Hometown: Lansing,

Let’s Talk About Real Estate Data Access

Please join us next Tuesday, May 7th, at 5pm EST for an exciting discussion on the real estate data access,

Top Data Scientist Talks About His New Role at Property Data Firm Cherre

We are honored that Franco at Propmodo decided to publish an interview with our CTO, Dr. Ron Bekkerman.

“The good news is that real estate in North America consists of a couple hundred million properties,

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