Meet Jannes Germishuys – A language expert
Jannes joined Combine after his master’s degree, where he developed a model to identify ‘fake news’ content in Sweden and the U.S. His multifaceted background and interest in problem-solving led him to the world of consulting. He is now a technical consultant on the Data Science team in Gothenburg.
Who are you?
My name is Jannes Germishuys, and I am all the way from Cape Town, South Africa. I recently completed my master’s in data science here in Gothenburg and joined Combine straight after graduation. Before my segue into data science, I actually majored in actuarial science, more commonly known as insurance mathematics, and after my studies I worked at a data science startup for 2 years.
What brings you to Sweden?
One of my main reasons for choosing Sweden was that during my visits here, I was always amazed by the openness of people to innovation and technological progress. I realized that I wanted to deepen my knowledge and experience in such an environment and found a master’s programme that perfectly matched my interests. I also wanted to broaden my horizons by experiencing a different culture, and the diversity of Sweden’s academic and working environments made me feel welcomed as an international student.
Why did you end up choosing Combine?
My primary goal when I started job-hunting was to find a great team of people with a shared sense of drive and purpose. Within a few minutes of meeting Benedikt (group manager for Data Science Solutions Gothenburg) and the rest of the team, I immediately felt that it would be a great cultural fit. I was also drawn to the ‘Enter the next level’ philosophy, which means that the technical problems Combine takes on are not only relevant but also interesting and important for progress in data science.
Which areas of Data Science interest you the most and why?
I have been fortunate enough to be involved in a diverse array of projects, from building speech-to-text engines using natural language processing to modelling water distribution networks using probabilistic graphs. This means that I usually look for the interesting problems rather than the ones that match a particular part of the data science toolkit. However, during my years of work and study, I worked deeply in natural language processing and also developed a strong research interest, as I helped to develop the initial framework for Swedish fake news detection with the Research Institutes of Sweden (RISE) for my master’s thesis project.
Can you tell us an interesting fact that not many people know about you?
Sure. I think people may notice a slight twang in my accent, and that’s because I went to high school in the island nation of Mauritius in the Indian Ocean, where I learned French and became a certified open water diver.