Ori Schneebaum

Ori Schneebaum has worked in a variety of roles since 2012. In 2012, they were the Head of Branch at HaIhud HaHaklai, where they managed, instructed, and educated 300 members in 4th to 8th grade, and an additional 150 members in 9th to 12th grade. In 2014, they were a Junior Data Analyst at the Bank of Israel in the Statistics & Data department, Forex Unit, where they analyzed aggregative and personal data of security holdings in the Israeli stock market and of Israelis in other stock markets. In 2015, they were a Research Assistant to Ittay Nissan-Rozen, Ph.D. at the Department of Philosophy and PPE at the Hebrew University of Jerusalem. In 2016, they were an Assistant Brand Manager and a Brand Management Intern at Procter & Gamble, and a Product Manager at Chaterr (SallyBot), where they managed the entire product life cycle from strategic planning to tactical activities and designed and implemented key NLP and analytics features to Chaterr's platform. In 2017, they were a Data Analysis Team Lead at the Office of the Prime Minister of Israel. In 2021, they were a Product Data Lead at Loops, where they were the first non-dev recruit (3rd employee) and a core team member. Ori was in charge of creating the first analyses that the Loops' system had, and managed and converted the first clients (from Design partners to paying customers). In 2022, they are a Senior Product Manager at Dealtale, A VIANAI Company.

Ori Schneebaum's education history includes a Bachelor's degree in PPE (Philosophy, Political science and Economics) from The Hebrew University of Jerusalem which was completed in 2016 and graduated with honors (Magna Cum Laude). Ori then completed selected courses from a Bachelor's degree in Computer Science at The Open University of Israel in 2019. Currently, they are pursuing a Master of Science in Computer Science at Reichman University (IDC Herzliya) and is expected to complete the degree in 2022. Ori has also obtained numerous certifications from Coursera, Neo4j, and Udemy, including AI for Medical Diagnosis, Deep Learning Specialization, Convolutional Neural Networks, Natural Language Processing with Classification and Vector Spaces, Sequence Models, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Structuring Machine Learning Projects, Data Science with Neo4j, Neo4j Certified Professional, Applied Graph Algorithms, Introduction to Neo4j, Python for Data Science and Machine Learning Bootcamp, The Complete SQL Bootcamp, The Complete Python Bootcamp, Business Metrics for Data-Driven Companies, and Data Visualization and Communication with Tableau.