Hi, I’m Alexander, a Data Science student at the University of Applied Sciences and Arts Northwestern Switzerland and a working student at Yokoy.
As a person who is naturally curious, I am always searching for things I don’t yet know or understand in order to find it’s uses to then develop new solutions for practical problems.
In Data Science there is a concept called “Garbage in, garbage out”, which describes the condition that the quality of a model’s output is based on the quality of the input. If you train a model on nonsensical data, the result will likely be unusable. This concept also applies to projects which is why I value transparency and open communication.