Your data science portfolio should consist of a number of projects that showcase your job-relevant skillset and knowledge. Again, the purpose here is to demonstrate you can do the task, so the more your portfolio looks like the day-to-day work of the jobs you’re applying for, the more impressive it’s going to be.
We recommend you not to add some random task to your portfolio or resume. “Solve a difficulty that relates to the organizations in which you’re interested.” Co-founder Refeal ‘rafi’ Zikavashli.
Participate in Kaggle competitions and Hackathons. Both are arguably the most popular platform for various data science projects and competitions. Not only will you learn a lot from such virtual competition, but it can also showcase your knowledge in data analysis and model development and optimization with different machine learning and artificial intelligence techniques.
Add experience to your portfolio, enroll yourself at the next exciting hackathon event at Hackmakers!