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I am a mechanical maintenance engineer by profession. Unfortunately, opportunities in my field are not great, Salaries are stagnant and future prospects are dim.

I wish to pursue a career in Data Science and I've been learning it along with Python and statistics for years as a hobby. I've done several industry-level internship projects as well.
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Of course. Entry into the field (or an adjacent role) might be a little bit harder, but your life isn't over at _34_.

Hell, but can't even be President of the United States until you're 35!
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Short answer: yes.

I've just hired a 45 year old analyst who has aspirations of moving into data science. And I have full confidence that he'll make it. Why? Because he wants to and has the drive to.
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I became a ML engineer last year at the age of 38, so it's definitely not too late for you!
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Mature experienced driven people are an asset.
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I switched from experimental Physics to data science at 36. Several of my friends and colleagues did the same. I interviewed with various companies and my experience turned out to be an asset in landing interviews.
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Yes, let none tell you otherwise.infact industry needs more mature data science practitioners coming from different backgrounds.
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Yes you can, your domain knowledge would be very useful, data science/ml these are just tools.
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I finished my PhD at 39 in a non-related STEM field, got my first "Data Science" job for an adtech startup at 42, and just got headhunted to a Senior/IC role focused on ML/E at 45.
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I did at 40 from mechanical / mfg engineering. PM if you have questions or want some advice.
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You have practical experience on top of youth.
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