Gap year undergrad—DA vs ML internships?

Hey, I’m on a gap year and really need an internship this year. I’ve been learning ML and building projects, but most ML internships seem out of reach for undergrads.

Would it make sense to pivot to Data Analyst roles for now and build ML on the side? Or should I stick with ML and push harder? If so, what should I focus on to actually land something this year?

Appreciate any advice from people who’ve been here!

submitted by /u/Appropriate_Cap7736 to r/learnmachinelearning
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