Ask HN: How to Build a Portfolio as a #MachineLearning Engineer?
My question is about blogging, research papers, and open source projects.
- I am intending to start blogging as well. While I use FB/Twitter to express my interest and opinion, I am willing to keep my blog as a space to showcase open source experiments. In this case, do you see it as a duplication (Open Source on Github with Readme file + blogpost on how to re-build things and lessons learnt ). The idea behind the blog and the website is to find a new a job, so it would be a place to show what I can do. My interest and work is around data science and data engineering.
- I interned at research Centers (R&D), so I was involved in writing and publishing some papers. As an engineer, do you find (Applied data science ) papers helpful in my career (papers that doesn't come with novel ML ideas, but novel ways to apply ML).
- If you are manager, recruiter or an interviewer, what do you want to see in the resume of a data science engineer ?. I have mixed signals, some people want to see more in-depth knowledge of data science, and others skills on how to process, query and analyze datasets.
- Do you have examples of good data science portfolios. Feel free to share links.