Idan Morad is a data scientist with a strong track record of turning research-grade models into production microservices across security, finance, and media domains. With a decade-plus of experience and eight years in applied roles, he has built fraud and anomaly detection pipelines (including SageMaker/XGBoost), automated reverse-engineering tools for tactical communications, and productionized NLP, graph, and computer-vision solutions. Comfortable as a solo contributor or mentor, he has repeatedly reduced manual effort—e.g., a Streamlit app that cut rule-creation time from days to hours—and delivered actionable analytics for product and sales teams. Based in Beer Yaakov, Israel, he combines rigorous academic training (M.Sc. in Information Systems Engineering) with hands-on cloud and big-data engineering to bridge research and operational needs.
7 years of coding experience
11 years of employment as a software developer
Master of Science (M.Sc.) Information Systems Engineering, Master of Science (M.Sc.) Information Systems Engineering at Ben-Gurion University of the Negev
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