Patrick Bosch (31) is one of our most recent hirings. He was born in Stuttgart (Germany), moved to Antwerp (Belgium) for a Ph.D. Program and eventually moved to the Netherlands one month ago to join the Divitel team. We are proud to introduce him to you through this short interview.
What will you do at Divitel?
Right now, I am part of the Demystify team and will be contributing with knowledge of machine learning and data analysis.
Additionally, I will help identify possible video delivery issues at our Divitel Operating Center, where we manage our customers operations remotely.
My experience wiIl come in handy to help automate root cause analysis and incident solving through the application of machine learning algorithms.
Later on, I will work on different projects that use machine learning for root cause analysis automation and early incident detection. Basically, my goal will be to automate the Demystify team, so that we can manage our customers daily operations faster, better and easier.
What is this Divitel Demystify Team?
The overall mission of this Reseach & Development Team is to use data as our focus to understand our clients’ tv networks and provide them with useful and insightful information. Insights that they can use to fix underling problems and create a quality product for their viewers.
We analyze the data from the video delivery ecosystems that we manage and research by using state-of-the-art algorithms and technologies. Within the team we don’t have specialized functions, but my expertise is focused on the research of algorithms and technologies.
What did you do before Divitel?
During my Ph.D. I worked as a researcher at the University of Antwerp. This work included research and being a teaching assistant for different courses. I also took the lead in one of our smaller internal projects and managed a project including several external and internal teams of about 20 people.
I finished my studies with a “Diplom” (old German system, Bachelor + Master equivalent) in computer science. That program included various topics, from databases, to system design, and compiler architectures, to AI. Due to my positive experience during my thesis, I decided to pursue a Ph.D. The topics included wireless networks, network management, network abstraction/orchestration, analytical modeling, machine learning, and data analysis. The defense of my Ph.D. will be in the following months. I also acquired an FWO (Fonds Wetenschappelijk Onderzoek) scholarship for my Ph.D.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 957157.