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Hey! I am currently in my 2nd year as a Data Scientist and I am finally thinking about building my first portefolio.As context: I am now pursuing a masters degree in machine learning / data science while working full time in a startup. My goal is to make a shift in my career, transitioning to ML once I end up my studies.Just finished my 1st prototype for a structure/organization https://github.com/pcerejeira/Data-Science-Portfolio/tree/main .Please note that, since I was working as a student, I do not have many full huge projects ready to post in my portfolio, instead about 80% of my work will be snippets and solutions to some task/problem that came up in work or academic situations. I will make sure to give a proper context to each situation so that anyone can understand my thought process behind the solutions.I would like to hear some suggestions from you guys! Is this focus on "snippets" and solutions, instead of full working projects, a bad thing?What do you think of the struture that I am thinking about overall?If you have some cool examples, I would also love to see them!Thanks
You can share with us your progress on the Data-Centric AI Community and ask someone to review it, we often do that with CVs as well and help each other out.