Zach Blumenfeld Picture

Zach Blumenfeld

Data Science Product Specialist, Neo4j

Zach Blumenfeld is a graph enthusiast who helps data scientists, engineers, and business leaders understand and implement Graph Analytics to solve challenging business problems.

He has firsthand experience with a wide range of modern day analytical challenges, including criminal fraud detection, identity resolution, and recommendation systems. Serving in both data science and software developer capacities, Zach has applied graph computing for law enforcement and government entities in support of missions that counter drug trafficking, human smuggling, money laundering, and child exploitation. He has led the development and deployment of full stack graph systems designed to facilitate broad search and analytical query requirements.

Zach is excited to join Neo4j as Data Science Product Specialist, where he will help empower the field with Neo4j’s industry leading Graph Data Science (GDS) capabilities.


Latest Posts by Zach Blumenfeld






Exploring Practical Recommendation Systems In Neo4j

In this post we explore how to get started with practical and scalable recommendation in graph. We will walk through a fundamental example with news recommendation on a dataset containing 17.5 million click events and around 750K users. We will leverage Neo4j and the Graph Data Science... read more


Exploring Supervised Entity Resolution in Neo4j

Photo by Alina Grubnyak on UnsplashWhile Supervised Entity Resolution (ER) can be immensely valuable, it is sometimes difficult to apply and scale in the real-world enterprise setting.In this post, I explore how the Neo4j Graph Data Science (GDS) library can be applied to rapidly develop... read more