Answer this question FAST:
If you take a screenshot of your GitHub profile, will people you share it with know you’re in the data science industry?
Or better yet, if they read the descriptions of the repositories will they know what each contains?
I’m guessing no, and that’s a huge problem. If you’re looking for a job in the data science industry and want to attract recruiters and employers, having a data science portfolio is important.
You need a backup plan.
The “Data Science Portfolio” Method to Attracting Recruiters and Employers
Have you seen my GitHub profile?
If yes, you’ll know I carefully named, described and tagged my repositories to showcase what I do – build machine learning systems and teach data science.
If not, it looks like this:
This profile setup is great for two reasons:
When someone randomly visits my GitHub profile, which happens more often than you think, they know exactly what I’m all about, and if they’re into it they can check out the code or visit my website.
My GitHub profile generates a ton of emails from recruiters.
Think about it…
Why do so many recruiters contact me after seeing my profile?
The answer is simple. Employers are looking for people with experience. Having a portfolio of code that shows I know what I’m doing AND that I present and teach makes them interested.
Having a data science portfolio not only shows employers I have experience, it also generates credibility in the data science community.
Why is that important?
If you’re trying to build a reputation as someone who knows what he’s talking about, having a portfolio demonstrates that.
If you want to speak at a meetup, something I highly recommend you do, you can point a meetup organizer to your code when you pitch them on presenting.
Speaking at meetups can provide a lot of credibility, and take it from someone who ran one for two-and-a-half-years, organizers are always looking for people to come and speak.
Be one of those people.
Build your data science portfolio.