Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Omer Sagi

Omer Sagi
Data Scientist, Dell

Omer Sagi

Senior Data Scientist at the data science team, Dell IT.
Mr. Sagi is a seasoned data scientist at Dell and currently a PhD candidate in the department of software and information systems engineering at Ben-Gurion University.
In Dell, Omer lead several data science projects in the fields of percision agriculture, online marketing, failure prediction, text classification and more. In his PhD, Omer’s research aims at developing algorithms that simplify ensemble models. His Master’s thesis in the department of industrial engineering at Ben-Gurion University presented a novel approach for assessing the monetary damages of data loss incidents. Omer also taught several courses such as Java programing and Databases.

Sessions

16:3517:15 Wednesday, 23 May 2018
Ran Taig (Dell), Omer Sagi (Dell)
DevOps and QA engineers devote significant amount of time to investigate reoccurring issues. These issues are often represented by large configuration and log files so the process of investigating whether two issues are duplicates can be a very tedious task. This session presents a solution that leverages NLP and machine learning algorithms to automatically identify duplicate issues at Dell. Read more.