Noam Kaplan is a Senior Data Scientist based in the Tel Aviv district with 12 years of experience turning unstructured data into actionable products across healthcare, legal-tech, and customer loyalty domains. He specializes in machine learning and NLP, with a track record of designing and shipping end-to-end systems—from real-time insight extraction and personalized marketing engines to applied medical-data research. At NICE he focuses on production-ready models, building on prior roles at K Health, LawGeex and Rise.ai where he combined research rigor with pragmatic engineering. Fluent in English and Hebrew, he excels at communicating complex technical ideas to cross-functional teams and stakeholders. Notably, his background blends formal telecommunications engineering training with hands-on R&D work that bridges academic methods and product-driven ML. He is known for inventive, out-of-the-box solutions that simplify complex systems while improving user-facing outcomes.
12 years of coding experience
3 years of employment as a software developer
Harel
Master’s Degree - Dropped Out, Data Mining and Business Intelligence, Master’s Degree - Dropped Out, Data Mining and Business Intelligence at Ben-Gurion University of the Negev
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