Noam Brezis
About Noam Brezis
Noam Brezis is the Co-Founder and CTO of Pecan, specializing in developing machine learning models for business intelligence. He holds a PhD in computational neuroscience and has over a decade of experience in software and data consulting.
Work at Pecan AI
Noam Brezis serves as the Co-Founder and Chief Technology Officer at Pecan, a company specializing in deep learning predictive analytics. He has held this position since 2016, contributing to the development of Pecan's AI platform. His work focuses on creating machine learning models that cater specifically to the needs of business intelligence analysts. Brezis played a significant role in designing the platform to be user-friendly, enabling users without prior machine learning experience to leverage its capabilities effectively.
Education and Expertise
Noam Brezis has an extensive educational background from Tel Aviv University. He earned a Bachelor of Arts in Economics and Psychology, followed by a Master's degree in Cognitive Psychology. He further advanced his studies by obtaining a Doctor of Philosophy in Computational Neuroscience. His academic pursuits have equipped him with expertise in machine learning, cognitive psychology, and computational neuroscience, which he applies in his professional endeavors.
Background
Brezis has over a decade of experience in software and data consulting. His career began in the Israel Defense Forces, where he served as a Development Team Leader and Software Programmer. He later worked at Safend as a Kernel Level Developer and at Madeira Data Solutions as a Senior Data Consultant. His diverse background in software development, data consulting, and military service has contributed to his expertise in cybersecurity and machine learning.
Achievements
During his career, Noam Brezis has co-authored research papers in the field of computational neuroscience. His contributions to Pecan's AI platform have led to significant impacts on revenue and key performance indicators for enterprises utilizing the platform. His expertise in developing tailored machine learning models has positioned him as a key figure in the intersection of data science and business intelligence.