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Romeo Kienzler

Romeo Kienzler is a prominent data scientist and AI expert who holds an M.Sc. (ETH) in Computer Science specializing in Information Systems, Bioinformatics, and Applied Statistics from the Swiss Federal Institute of Technology Zurich. With nearly two decades of experience in software engineering, database administration, and information integration, he has worked at IBM since 2012 in roles such as Chief Data Scientist at the IBM Center for Open Source Data and AI Technologies (CODAIT) in San Francisco and Senior Scientific Software Engineer at IBM Research Europe in Rüschlikon, Switzerland. He serves as Associate Professor for Artificial Intelligence at the Swiss University of Applied Sciences Berne and Adjunct Professor for Information Security at FHNW, focusing on cloud-scale machine learning, deep learning with technologies like TensorFlow and Apache Spark, and ethical AI.

Technical Data Science Artificial Intelligence
Apache Spark 2: Data Processing and Real-Time Analytics: Master complex big data processing, stream analytics, and machine learning with Apache Spark
Apache Spark 2: Data Processing and Real-Time Analytics: Master complex big data processing, stream analytics, and machine learning with Apache Spark
2018