Yiftah Szoke
About Yiftah Szoke
Yiftah Szoke is a Data Analyst with expertise in machine and deep learning techniques. He has a Master's degree in Information Systems Engineering from Ben-Gurion University of the Negev and has been working at Vulcan Cyber since 2020.
Work at Vulcan Cyber
Yiftah Szoke has been employed at Vulcan Cyber since 2020, serving as a Data Analyst. In this role, he applies his knowledge of data science to contribute to the company's cybersecurity initiatives. His responsibilities include analyzing data to identify trends and insights that support decision-making processes. His tenure at Vulcan Cyber has allowed him to develop his skills in data analysis and apply machine learning techniques in a practical environment.
Education and Expertise
Yiftah Szoke is pursuing a Master of Science in Information Systems Engineering at Ben-Gurion University of the Negev, where he has been studying since 2021. He previously completed a Bachelor of Science in Computer Software Engineering at the same institution from 2017 to 2021. His academic background has equipped him with a strong foundation in software engineering principles and data science, with a focus on machine and deep learning techniques.
Background
Yiftah Szoke began his academic journey at Ben-Gurion University of the Negev, where he completed his undergraduate studies in Computer Software Engineering. Following his graduation in 2021, he continued his education by enrolling in a master's program at the same university. In addition to his studies, he gained practical experience as a Software Engineer Intern at MDClone in 2020, where he worked for five months.
Technical Skills
Yiftah Szoke possesses proficiency in programming languages such as Python and SQL. His technical skills enable him to effectively analyze and manipulate data, which is essential for his role as a Data Analyst. His expertise in machine and deep learning techniques further enhances his capabilities in the field of data science, allowing him to contribute to complex data-driven projects.