Ohad Horowitz has a diverse work experience spanning various roles and industries. In 2022, they worked as a Data Analyst at Similarweb, where they developed a data quality control program for validation, monitoring, and problem detection. Prior to that, from 2020 to 2021, they worked as a Data Analyst of COVID-19 data. From 2008 to 2018, they worked at Intel Corporation, initially as a Device Engineer and Data Analyst, where they gained knowledge in device physics and process flows. Later, they served as a Process Engineer in the CVD group, focusing on equipment and process tasks and contributing to the application of lean principles. Before joining Intel, they worked as a self-employed teacher, providing math and physics lessons to university and college students.
Ohad Horowitz attended Bar-Ilan University from 2007 to 2010, where they obtained a Bachelor of Arts degree in Physics. In 2023, they completed a Machine Learning Specialization program at Stanford University and DeepLearning.AI on Coursera. Additionally, Ohad earned several certifications including the Machine Learning Specialization, Unsupervised Learning, Recommenders, Reinforcement Learning, Advanced Learning Algorithms, and Supervised Machine Learning: Regression and Classification from Coursera.