Reviewing Your Data Science Projects - Episode 13 (BONUS LinkedIn Review)

In this video I review Thinam's data science resume, project portfolio, and linkedin profile. Special thanks to him for submitting his work!

Resume
Keep the data science resume to a single page. For an entry level position, if it is longer than this it will be discarded.
Put your skills up top
For education and work experience, start with your most recent activities
Data science projects should be quantified as much as possible

Git Hub Portfolio
Great to have a github header with your information (Thinam did this really well)
Include links to linkedin & twitter if yours is professional
Keep readme's consistent. The more organized your repos are, the better

Linkedin Data Science Advice
Interact with the community through sharing posts and commenting
Use the About me section to tell your story
Endorse others and ask for endorsements
GO more into depth about your experience

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