Pablo Delgado

Pablo Delgado is a Senior Data Engineer working on the Content and Recommendations team at OpenTable, building infrastructure to collect data and power machine learning applications. Currently he is working on the recommendation systems stack using the implicit interactions of our users with restaurants. He previously worked as a Software Engineer at Google Z├╝rich building pipelines for the Geo division. Pablo obtained a degree in Mathematics and Computer Science in University College London, London United Kingdom, where he worked on Graph based Methods for Collaborative Filtering.

Pablo Delgado - Data Science

Mesos at Opentable

How we got started with Mesos: Pain-points in a hybrid environment and surviving the transition

Pablo Delgado - Data Science

Using data science to create a dining expert

We can build expert knowledge of cities with our corpus of unstructured reviews