Meet Philipp
Philipp started in physics and pivoted to data through a Master's in Statistical Data Analysis at Ghent University. He spent several years at Capgemini working on Azure and Databricks for clients like Proximus, Coca-Cola, Aldi, and Atlas Copco. His master's thesis used machine learning to predict disruptions in nuclear fusion plasma, which is a solid conversation starter.
We asked Philipp some thoughtful questions
philipp , how did you discover your passion for data?
During my master’s thesis, I applied machine learning techniques to forecast physical disruptions occurring within the plasma of a nuclear fusion reactor. This work involved developing, training, and evaluating data-driven models on complex experimental datasets, which allowed me to gain hands-on experience with programming, data preprocessing, and model optimization. Through this experience, I realized that my true passion lies in programming and data analysis, particularly in building and interpreting computational models, rather than in the underlying physics behind the phenomena.
Why did you specifically choose Plainsight?
After 6 years, I was looking for a change of environment and felt it was the right moment to challenge myself by stepping outside my comfort zone and leaving the company I had been with for a long time. Plainsight stood out to me because it offers the depth and in-house expertise of a larger organization, while still maintaining the agility of a growing company with strong ambitions to scale. This balance is also clearly reflected in the colleagues, whose drive and commitment create a motivating and inspiring environment.
What was your first month at Plainsight like?
My first months at Plainsight were both engaging and very enjoyable. From the start, I was immersed in new technologies, such as dbt and Fabric, which allowed me to learn a great deal in a short amount of time. Over the past eight months, that learning curve has continued, and I’ve steadily expanded both my technical skills and my ability to approach and solve problems in an entrepreneurial, solution-oriented way. What stood out to me most was the high level of drive and ambition among my colleagues. Everyone is motivated, supportive, and eager to push things forward, which made the experience especially rewarding.
If you could have dinner with any historical figure, who would it be and why?
Richard Feynman. He was a brilliant mind and the main inspiration behind my decision to study physics. His ability to explain complex physical concepts in a simple, engaging, and often humorous way has always fascinated me. I would love to hear his thoughts firsthand and experience his unique perspective on science and life.
Eager to join our team?
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