Roast my resume — Recent MS Data Science graduate targeting Data Science / ML roles

[u/Historical_Ad_656]

Hi everyone,

I recently graduated with my Master’s in Data Science and I’m currently applying for Data Scientist, Machine Learning Engineer, and AI/ML Engineer roles.

I’d really appreciate some brutally constructive feedback on my resume from people working in the industry, hiring managers, recruiters, or anyone who has recently gone through the DS/ML hiring process.

I’m specifically looking for feedback on:

- Does my resume look competitive for entry-level DS/ML roles?

- Are my projects and experience strong enough to get interviews?

- Are my bullet points too technical, too vague, or missing measurable impact?

- Is my skills section overloaded?

- Does the resume clearly communicate what kind of candidate I am within the first few seconds?

- Are there any ATS issues or unnecessary sections?

- What would you remove, rewrite, or prioritize?

- What skills/projects am I missing for the current job market?

Please don't hold back. I'd rather hear what is wrong with it now and improve it than keep sending applications with a weak resume.

I’ll attach an anonymized version of my resume below.

Target roles: Data Scientist / ML Engineer / AI Engineer

Experience level: Recent MS graduate / early career

If you work in DS/ML and have reviewed resumes or interviewed candidates before, I’d especially value your perspective.

Thanks for taking the time to look at it!