Same here, and thanks to the internet just remembering concepts is usually enough these days.
Yesterday I had to quickly guestimate for a project how much space overhead we'd have on the server if we pre-generated an image pyramid of tiles for leaflet.js[0], instead of generating a "PNG" in RAM on the fly each time and serving that. Then I realised the number of pixels shrinks by a quarter every time we zoom out, so the worst case would be the infinite sum of 1/4^n. While I vaguely remember from my first year of physics how to calculate that, it's been over a decade. But we have Wolfram Alpha these days[0], which told me it converges on 4/3. So I knew the upper boundary would be around 4/3 of our original data, plus negligible PNG header overhead, and assuming compression is about the same.
[1] https://www.wolframalpha.com/input/?i=sum+of+1%2F(4%5Ek)
While I can probably count on one hand the times I've used what I learned in the "real" world, I can say I really value my education.
I believe the real value of a math based curriculum or even something like philosophy with an emphasis in logic is that it teaches one how to think in a reasoned, dispassionate and rational way.
In my view, this wasn't about doing mathematics as an academic career, climbing up the ivory tower, publish or perish, and all that.
Edit: I tend to agree. My intellectual capacity was far improved only after doing first year Engineering Maths & Physics. I did terrible gradewise, but it has helped me visualize, juxtapose mental structures, quickly iterate on different concepts etc.
I should go back to doing something again. Had to do some cartesian products in a data migration the other day, in my dayjob, it was refreshing :).
And as always, this timeless quote from Einstein motivates "Do not worry too much about your difficulties in mathematics, I can assure you that mine are still greater."