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Raviv Barzilai

VP Data at 365Scores

Raviv Barzilai has a diverse work experience spanning over several years. Raviv started their career in the Israeli Navy as a Submariner from October 2003 to May 2008. Raviv then worked as an Information System Instructor and Head Implementer at John Bryce from October 2011 to October 2012.

In 2012, Raviv joined Elad Systems as a Systems Integration Administrator, where they worked from November 2012 to August 2013.

Their career in data analysis began in 2013 when they joined 365Scores as a Data Analyst. In this role, they conducted user behavior analysis, market segmentation, and created statistical reports. Raviv also developed expertise in SQL Server and writing stored procedures. Raviv held this position until July 2014.

Following that, Raviv took on the role of BI & Analytics Developer at 365Scores. Raviv played a major role in developing BI solutions, maintaining the data warehouse, and building dynamic reports and dashboards using Tableau. Raviv also developed ETL procedures using Python. Raviv worked in this role from July 2014 to June 2015.

Since June 2015, Raviv has been serving as the Head of Data at 365Scores. In this leadership role, they have been responsible for leading the development of end-to-end Big Data solutions and designing successful data architectures. Raviv has also built and trained teams of Data Engineers and Data Scientists.

Overall, Raviv Barzilai has extensive experience in data analysis, BI development, and system integration across various industries.

Raviv Barzilai completed their Bachelor of Science (B.S.) degree in Industrial Engineering and IT Management, with a focus on Information Systems, from Shenkar College of Engineering and Design between the years 2010 and 2013. Additionally, Raviv obtained various certifications, such as Elasticsearch 6 and Elastic Stack, Spark and Python for Big Data with PySpark, Taming Big Data with Apache Spark and Python, Hadoop Developer In Real World, Hadoop Starter Kit, and Scala and Spark for Big Data and Machine Learning from Udemy, with different years of completion ranging from 2017 to 2018.

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