Elad Yehezkel
About Elad Yehezkel
Elad Yehezkel is a Data Scientist at Imubit with a background in software architecture and research in algorithms and graph theory.
Title
Elad Yehezkel is currently a Data Scientist working at Imubit. His expertise lies in utilizing machine learning platforms such as TensorFlow, Keras, and sklearn. He is proficient in Java and Python programming languages.
Previous Positions
Before his current role, Elad Yehezkel worked at Mellanox Technologies as a Software Architecture Student from 2016 to 2017. In this position, he developed methods for accelerating communication using advanced software engineering techniques and graph theory. He also worked at Matrix in 2014 for 9 months, where he gained experience in software development.
Education in Computer Science
Elad Yehezkel studied Computer Science at Weizmann Institute of Science, earning a Master of Science (MS) from 2017 to 2019. Prior to that, he completed his Bachelor of Science (BS) in Computer Science at Bar-Ilan University from 2014 to 2017. During his academic career, he conducted research in algorithms and graph theory, focusing on constructing graphs with predetermined properties.
Professional Skills and Research
Elad Yehezkel has a strong background in machine learning, demonstrated through his proficiency with platforms such as TensorFlow, Keras, and sklearn. His research in graph theory and algorithms has contributed to his ability to construct graphs with specified properties. At Mellanox, he used his expertise in expanders to enhance communication reliability and speed.