I firmly believe in the value of learning and growth. For me, saying "I don't know" isn't a conclusion—it's an invitation to explore and understand. This mindset, deeply rooted in my upbringing, comes from my father, who taught us that curiosity and persistence are essential traits. Whether it’s acquiring a new skill, trying out a new recipe, or mastering a tool in Word, I view learning as an ongoing journey that enriches both personal and professional life. Every new piece of knowledge adds value, equipping me to tackle challenges creatively and with confidence. To me, learning is not optional—it’s a lifelong pursuit that continuously opens doors.

Throughout my career I have had obstacles to overcome, sometimes I didn't succeed but I would use this to learn more and try again. I have learnt that the phrase 'try, try and try again' is real. I always have looked at where I want to be and developed a plan to get there, sometimes I have detoured from the route but that's ok, as long as I make it in the end. Believing I will drives me forward.

I think you should be aware that communication and presentation skills, motivation and the will to grow and further develop your abilities are not only buzzwords but skills that are often underestimated but quite relevant for the work of a Data Scientist. I often have to explain and present the approaches I used and the results I obtained on various levels of granularity to different audiences. For example, when discussing with other data scientists in the company I need to be able to explain how a method works in detail. In contrast to that I have to focus on the business implications of my modeling choices when talking to the business colleagues or to managers. For the latter audience it is usually more relevant to understand the general idea of an approach rather than the details of how it is working. It is not easy to switch between these settings and to find a proper way of communicating to each of these different kinds of audiences but keep in mind that this will be a relevant part of your work as a Data Scientist. Additionally, lifelong learning is not only a buzzword at TUI. You should be motivated to actually stay up to date with the current state of the art Machine Learning procedures and bring motivation and initiative to continue your learning process. As a team, we are deeply involved in decisions that concern the way we work and the tools we use. Therefore, we have to keep track of new developments in the world of Data Science and Machine Learning and need to be willing to adopt new methods or tools if we expect them to be useful for our daily work.