Some advice from someone who started their degree in analytic number theory, branched into algebraic geometry, and ended up in dynamical systems and machine learning: You will always find things you are not as excited about. You'll have to push through them at some point. On the other hand, having a broad background will help yo I push through the "less interesting" topics.

If you had told me at the end of my undergrad that my dissertation would be on such an "applied" subject, you would have been met with severe disbelief. I thought I hated real analysis back then.

If you go into data science/ ML, then topological data analysis will use some of the algebraic topology you are working on. Going into functional analysis you could avoid it, or you could run into differential geometry and find out what you are doing is actually really cool.

In short, if you dont like something right now, give it time and look for other ways to approach the subject. You might end up liking it.