Oliver Stritzel

Sequential Data Analysis, Process Analytics and Data Mining using state-of-the-art machine learning methods for industry and scientific problem statements.

Tutor for Data Intensive Computing for Master Degree Students

Offering JupyterHub solutions on Kubernetes for Programming Courses at TU Vienna, based on internal OpenStack Platform

Creating, Operating and customer support of an internal SaaS product for massive Log Data Analysis based on Kubernetes, Docker, Elasticsearch, Apache Kafka. Using technologies like Ansible, Jenkins, Logstash, Kibana, Filebeat, S3, Bash and much more to maintain large number of clusters.

Evaluation of Apache Flink and Apache Spark facing the use case of building a Real-Time Fraud-Detection Platform based on the analysis of massive log data from Digital Banking Systems.

Evaluation and engineering of a continously updating and adjusting Forecast of costumer letters.