Ronny Szajnbrum

Ronny Szajnbrum has a diverse work experience spanning multiple industries. Ronny currently works at Nanox AI, where they are the Data Analytics Team Lead since February 2022. Prior to that, they served as a Data Scientist from May 2021 to April 2022, and as a Senior Data Analyst from September 2020 to May 2021 at the same company.

Before Nanox AI, Ronny worked at Feedvisor for four years, starting in May 2016. Ronny held the role of Data Analyst and was responsible for collaborating with data scientists and engineers to enhance algorithms, analyze and prepare data, conduct AB tests, and create performance dashboards. Ronny also developed a Python algorithm for predicting sales on Amazon.

From November 2014 to January 2016, Ronny worked at ironSource as a Business Data Analyst, providing data analysis, reporting, and actionable insights to various units within the search department.

Ronny's early work experience includes being a Student at ME department at Intel Corporation from September 2012 to July 2014, where they focused on capacity optimization and work processes improvement using data-driven analysis and statistical models.

Lastly, Ronny worked as an SPIKE Instructor at Rafael Advanced Defense Systems from May 2008 to February 2010.

Ronny Szajnbrum pursued their education at various institutions. Ronny began their academic journey in 2011 at Ben-Gurion University of the Negev, where they completed a degree in industrial engineering and management with a specialization in information systems. This three-year program spanned from 2011 to 2014.

After a few years, Ronny furthered their education by enrolling at the School of Data Science YDATA in 2018. Ronny engaged in a Professional Studies program focused on data science and machine learning. This educational endeavor continued until 2019, providing him with valuable knowledge and skills in this field.

Overall, Ronny Szajnbrum's education history showcases their commitment to expanding their expertise in the areas of information systems, industrial engineering, management, data science, and machine learning.