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BREAKING: Internal sources confirm another round of layoffs just hit emails at Tesla. For real.
I’ve applied to like hundreds of applications on LinkedIn, Otta, and indeed with no response. Wondering if it’s just the market or if it’s my resume #tech #dataanalytics #datascience #finance #ai #machinelearning
TLDR; classic resume that regurgitates a bunch of random stuff you’ve done and not a strategic resume that copies typical data scientist job postings. Absolutely no reason for you to include “relevant course work” unless you’re a fresh grad trying to land your first job. Replace that with data science projects because your work experience screams data analyst that knows python, not data scientist that can run experiments with large datasets. Education and certifications should be separate sections. Real estate license is useless unless you’re working for a company in that industry.
So how should I put my coursework in there then? I don’t have much ML/AI/data science experience so I’m trying to show that I have some knowledge.
Coursework is great for learning stuff but it doesn’t add much value. A bullet point talking about what you did with python has the same impact as adding a whole section to just include that class. Best way to show your knack for DS would be to look at some DS job postings and maybe do a project with the skills those jobs typically asks for. The project can be for your company or personal but being able to talk about it during an interview is key.
Too wordy, 1 page resume if possible
Your resume is way too long, and not concise enough. keep each exp block to about 3 bullets (3 lines each or enough to fit in 1 page). Resumes over 1 page are GENERALLY meant for people with publications (phd candidate) and applying for an executive role etc, where lots of context is required. Recruiters are lazy and clueless 90% of the time, they scan for keywords and look at your exp at a high level. Remove real estate, and remove irrelevant non technical exp. Also add more data science keywords beyond numpy pandas etc. When you’re transitioning from non tech to tech, people look for some demonstration of technical ability. This is shown in the interview but before that you need to make the recruiter/HM confident to take that chance. Context im a swe but I review resumes all the time as part of hiring. Good luck!
What should I add for the data science keywords? I don’t have much experience so I can only list things I’ve learned through coursework.
Better? I narrowed it down
DM for SAP and anyone else for a referral!
Yeah I’m down
The easy things: (1) Way too many bullet points and (2) nothing meaningful within the bullets themselves, which is essentially the whole resume. I would recommend keeping it to just the top 3-4 bullets for the most recent two, then one or two for anything older than that. In addition, talk about impact. Is building slides really the most impact you’re able to have at your current job? Discussing stakeholders is great but add some numbers — can google this there are hundreds of articles. The hard things: I’m kind of guessing that you don’t have numbers/impact bc you’ve been unable to generate any and your experience, despite many years, is limited. I see no modeling/ML/data engineering experience. This is a bit of a bummer bc it can be a catch 22 situation. I would keep your head up at work and focus on those opportunities and make sure you can help the business with it in some way. Finally, happy to have others chime in here, but your skills/relevant coursework/education don’t need to be a full page. I place no weight on online courses or coursework beyond new grads. I can see what I need in your job descriptions. You can get this resume down to a page, easily.
Okay I’ll definitely shorten the bullet points. Yeah unfortunately what I’ve done there hasn’t been much of “quantitative impacts” that I can list. Also I’m putting all those coursework and education there before I have no ML/data engineer/data science background so I’m trying to show that I’m actively learning on my own and just need a chance 😕
Yea totally understand. It may not be ideal for you but I would focus on internal mobility and leverage your (hopefully) good social credit to move into a junior DS role, get the relevant experience, and then move externally. That’s the path of least resistance imo.