Erez Katzenelson

Erez Katzenelson has a diverse work experience spanning multiple roles in various companies. Erez is currently working as a Data Scientist at Similari since May 2022. Previously, they served as a Data Scientist at Somatix from September 2020 to May 2022. Prior to that, they worked as a Senior Algorithms and Software Engineer at Intuit from January 2018 to July 2020.

Erez also has experience as an Algorithms and Software Engineer at Relegence, where they contributed to the design and implementation of content understanding technology. Erez was responsible for utilizing their skills in Java, Python, MySQL, Hadoop, Jenkins, Kibana, and ElasticSearch to enhance the company's services and products. Erez worked at Relegence from November 2014 to December 2017.

Before joining Relegence, Erez worked as a Software Engineer at Check Point Software Technologies from April 2013 to November 2014, and at BlueSea Software from February 2012 to April 2013.

Additionally, Erez has experience as a Teaching Assistant at Ben Gurion University from 2009 to 2010 and as a Software Developer at EPIX Pharmaceuticals from May 2008 to October 2008.

Their earliest work experience was with the Israeli Air Force, where they started as a System Programmer in August 2001 and later became an Infrastructure Architect and a .Net Programmer. Erez served in the Israeli Air Force until July 2004.

Erez Katzenelson holds a Master of Science (M.Sc.) degree in Bioinformatics from Ben-Gurion University of the Negev, which they obtained from 2008 to 2012. Prior to that, they earned a Bachelor of Science (B.Sc.) degree in Bioinformatics from Tel Aviv University, where they studied from 2004 to 2007. There is no available information regarding the duration or degree obtained from Handesaim and Mamram institutes. Additionally, Erez Katzenelson has obtained two additional certifications: "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera, completed in January 2019, and "Neural Networks and Deep Learning" from Coursera, completed in December 2018.