Best way to build your Data Science Portfolio
Having a project portfolio today is just one of the standard requirements for data scientists.
Whatever type of projects you do, make sure they are about something that excites you.
Do Your Passion Projects
Demonstrate a Range of Skills
Candidates who are adaptable and skilled in every phase of an end-to-end data science project are sought after by employers.
Focus on Quality, Not Quantity
It makes a good impression to have fewer carefully selected (see Point 2) projects that are finished, polished, and executed well.
Highlight Practical Applications
Employers like to see how you solve real-world problems because, guess what, you’ll be solving them at your job.
Contribute to Open-Source Projects
It allows you to show off your ability to work with others in your field and contribute to practical applications.
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