Pivot Out of Tech? New Grad Seeking Advice
Pivot Out of Tech? New Grad Seeking Advice
Hey everyone,
I haven't had that great of luck landing a new-grad/entry-level role since I graduated 9 months ago (May 2023). I'm thinking of changing my career focus and possibly pivoting out of tech.
For context, I have almost 6 months of mediocre internship experience as an Embedded Software Engineer. I also have experience being a coding team lead for a project as part of a club activity at my uni for two semesters, to which I actually I enjoyed. As for roles, I've been applying to Embedded SWE, general SWE, hardware SWE, and systems engineering roles.
While this experience looks okay on my resume as a new-grad, it's been a struggle for me in searching for a job, and getting through the technical interviews. There's this element of dread in looking for jobs, preparation for job interviews, doing leetcode and even while working on personal projects.
Recently I've been thinking of looking into becoming an accountant or something similar since I like crunching numbers and since credit card churning, and FIRE (Financial Independence, Retire Early) plans interest me a lot. So I'd have to go back to school and prepare for the CPA Exam.
If I were to stay in tech though, I would consider going into IT by getting the CCNA certification, maybe.
I could use some advice from those with experience, and I could also use advice from people who have pivoted in or out of tech and how you handled executing a career change.
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Data science might be a good fit. I've been looking into changing careers and taking classes. Data sci is a mix of stats, crisp-dm, programming, and presentation. It isn't strictly accounting, but there is a lot
ifof overlap. Throw in a few ai buzzwords and you'll land something.Thank you for your suggestion of looking into Data Science. I have some machine learning experience from uni classes, I can maybe expand my domain by looking at some certs.
I was also going to recommend looking at data science. You can go multiple directions with it. There's Business Intelligence (Tableau, Thoughtspot, Qlik, Looker, etc). You can look at work in those companies or their customers. There's also more general areas of data analytics where knowing SQL, Snowflake, and Python can help a lot - definite overlap with DB admin/engineer type work. And that's also the current hotness of AI/ML, which may be promising, if you have a good base of knowledge and can keep up with what's constantly changing.