How to get "successful project experience" in data science? What should a portfolio look like?

Question

Career in IT

I want to work as a data analyst. subject areas are not so important, because I don’t have combat experience to understand the difference, but industry, biomed-biotech, transport-logistics are interesting.
I independently mastered the theory from combinatorics to CLT, the basics of mathematical statistics from descriptive statistics to multivariate ANOVA, dealt with time series separately. I understand pandas through Jupyter. The employer needs experience, successful projects. Where can I get it? Are there those who made case studies from YouTube, habr, in the image and likeness, then switched to keggle, sites with datasets, then made a portfolio by putting it on git? Or is there a better way?

Answer 1

a solved business case looks good, but a few are better

Answer 2

Beginner Data Scientist resumes consist of courses taken, education, and perhaps not the most relevant work experience. Such resumes are not much different from the bulk of applicants.
Working on a pet project is a great opportunity to improve your skills. If you add a completed pet-project to your resume, it will immediately become attractive and a topic for conversation will appear at the interview.
So what is a pet-project? Pet-project is a project that is done for its own sake. It is created outside of work and is often associated with self-interest. For example: sports, electronics, cooking, cars, travel, medicine, etc. The project will help expand professional skills and learn new ones that will be useful at work.
Wrote a post with ideas for pet projectshttps://alimbekov.com/%d0%ba%d0%b0%d0%ba-%d1%81%d0...