Ziv Mor
About Ziv Mor
Ziv Mor is a data scientist with a background in software and information systems engineering. He has experience in various roles including data analyst and team lead, and he specializes in developing anti-fraud algorithms using machine learning techniques.
Work at AppsFlyer
Ziv Mor currently works at AppsFlyer as a Data Scientist, a position he has held since 2022. Prior to this role, he served as a Data Analyst at AppsFlyer from 2021 to 2022 and as a Data Analyst (Student) from 2020 to 2021. In his current role, he focuses on developing anti-fraud algorithms utilizing deep learning and traditional machine learning models within a big-data environment.
Education and Expertise
Ziv Mor is pursuing a Master of Science (M.Sc) in Software and Information Systems Engineering at Ben-Gurion University of the Negev, which he began in 2022. He previously completed a Bachelor of Science (B.Sc) in Industrial Engineering and Management at the same university from 2017 to 2021. His education has equipped him with a strong foundation in data science and engineering principles.
Background
Ziv Mor has a diverse professional background. He worked at Tech7 - Negev Innovation as a Team Lead from 2019 to 2020 and as a Project Manager from 2018 to 2019. He also co-founded ReDrive in 2019, where he contributed to the startup for one year. His early career includes service in the Israel Defence Forces, where he held the position of Chief Operations Officer from 2013 to 2014 and served as a Paratrooper in Battalion 101 from 2010 to 2013.
Technical Skills
Ziv Mor possesses expertise in machine learning and data analysis. He utilizes tools such as PyTorch, TensorFlow, and scikit-learn to create end-to-end machine learning models. His technical skills are applied in developing algorithms for anti-fraud detection, showcasing his ability to work with both deep learning and traditional machine learning techniques in large-scale data environments.