Romeo Kienzler holds a M. Sc. (ETH) in Information Systems, Bioinformatics & Applied Statistics (Swiss Federal Institute of Technology). He has nearly two decades of experience in Software Enineering, Database Administration and Information Integration. Since 2012 he works as a Data Scientist for IBM. He published several works in the field with international publishers and on conferences. His current research focus is on massive parallel data processing architectures. Romeo also contributes to various open source projects.
Coursera
Dive into the world of Big Data with our 'Data Engineering and Machine Learning using Spark' course. Gain practical skills in handling unstructured data and applying advanced analytics through Apache Spark. This hands-on learning experience will equip you with essential ETL tasks and ML applications knowledge to drive business insights.