I am a masters student in Germany. On the contrary to how most people's thesis work turns out, mine looks like it is quite far from what I planned to gain expertise in, in that it seems like it is an oversimplified topic. I was looking to work with machine learning as a center point of focus ( did a bunch of courses in data mining, information retrieval) , but after working as an intern for nearly 5 months in the institute, the topic I was offered was to do with optimising pairwise intersections of lists for which I do not need to make use of any machine learning tools.
I am afraid, this will make it very difficult for me to get a job in the industry and also, I feel like, the topic is not really giving me much to write as part of the literature survey in my thesis report. The whole thing has gotten me really worried sick.
I would greatly appreciate any guidance on where I stand and what I should look out for.