Bas is a programmer, scientist, and IT manager. At ING, he is responsible for the Fast Data chapter within the Analytics department. His academic background is in Artificial Intelligence and Informatics. His research on reference architectures for big data solutions was published at the IEEE conference ICITST 2013. Bas has a background in software development, design and architecture with a broad technical view from C++ to Prolog to Scala and is a Spark Certified Developer. He occasionally teaches programming courses and is a regular speaker on conferences and informal meetings.
Bas tweets at @bgeerdink.
I'm speaking at...
Infiniteconf 2017 - the conference on Big Data, Data Science and Engineering
Two days in London
Comprehensive aspects of human behavior and the human economy are increasingly recorded as data. Big data is transforming almost every aspect of science and the humanities, driven by the emergence of a data society. How to extract value from data? What technologies can or will power this...d3js neo4j cassandra python flink Spark kafka smack data-visualisation cluster-computing connected-data bigdata IoT AI machine-learning datascience
Talks I've Given
Predictive analytics with Scala and Spark at ING - Intermediate
Featuring Bas Geerdink
ING is a Data Driven Experimental Enterprise, which is heavily investing in big data, analytics and streaming processing. As in many other enterprises, we deal with a large variety of data sources. Some are responsible for primary processes, while others are used to improve the quality of the...machine-learning analytics akka scalax scala Spark ING
Lightning Talks 2
Featuring Bas Geerdink, Jeff Smith, Aurelien Waite and Karl Brodowsky
This session will consist of four 15-minute talks by Jeff Smith, Aurelien (Rory) Waite, Bas Geerdnik, and Karl Brodowsky, where the following topics will be covered; numbers, computers, scala, deep learning, spark, statistics models, translationcomputers scalax scala
The rise of Scala at ING
Featuring Bas Geerdink
ING is investing in big data, analytics and stream processing to improve data quality and business processes such as balance forecasting, fraud detection and customer relation management. Our ambition is to become a data-driven ‘experimental enterprise’. To realize this, the ING team is working...banking java ING scala