door Kim Rosema 7 jaren geleden
297
 
                            
                        Get involved in a variety of projects globally.
Collaborate and share code.
Re-tweet and hashtag appropriately
Professionally engage others in commentary.
Regularly share interesting news or journal articles about data science, Big Data, machine learning, etc.
Follow several major data scientists or organization pages.
Create a professional page.
Participate in Q and A's.
Join groups.
Promote relevant events.
Make connections, especially with influencers.
Share interesting articles about Big Data, machine learning, software developers, etc.
Make sure my information is up to date.
Update profile to reflect accomplishments, present work, and future plans.
As a web page, clickable items are useful. I can link to my social media pages, any projects/research that might be online, etc.
Codes I’ve written or working on (Links on GitHub)
This is kind of like being published so this would be important to include in a portfolio.
Videos/Presentations.
Research conducted.
This is for credibility and networking with collaborators.
Expand on internships.
Expand on what is in resume.
Education
Special assignments/projects.
Specific courses emphasizing learned programming.
GPA
Awards/Organizations
About Me
Picture
This works for Social Media as well.
Work on being a voice of authority in the field, sharing how I continue learning in the industry