Network security threats have become more dangerous, and network operators have to be much more careful and precise in how they meet
About Naim Falandino
Naim Falandino is a data scientist, software developer, and engineering manager with more than ten years of experience building analytical data pipelines and applications. As Chief Scientist of Nokia Deepfield his expertise in real-time analytics, machine learning, and information visualization is being applied to build products that solve the networking industry’s most complex problems in security, performance, and management. Prior to Deepfield, Naim was a Data Scientist in Ford Motor Company's Systems Analytics research group, and Lead Software Architect at Covisint. He holds a MS in Information Science from the University of Michigan, and a BS in Computer Science from Michigan State University.