“I know project work is important to put on my resume, but I don’t know what (or how much) to write”
You’ve been told the Projects section is important to include on on your resume, but the advice stopped there. You have limited Data Science work experience, so are relying on your Projects to convey you can do the job. You’ve spent a lot of spare time grappling with personal Projects to give yourself a step-up and you want to make sure you get credit for all that effort (and head-scratching!).
Most of all, you want all your Project work to start to work for you, but you just don’t know how.
Good news! We’ve run into this question a lot from readers and have some solid tips to share to make sure your Project work shines through :)
At the highest level, you want to make sure that the Project both sounds cool/interesting to someone with zero context, and it is clear what you actually did (i.e., the different steps). Remember, the Hiring Manager has no idea what you’ve been working on, or why, so it has to grab their attention and be easy to comprehend.
Ok, with that in mind, here are some specific suggestions for how to describe each Project that you include on your Data Science resume:
If you follow the above high-level and specific advice your Project work should start to work for you!
How to take action now!
The “Elevator Pitch”. Imagine you have 15 seconds in an elevator with the Hiring Manager to describe the Objective & Motivation for one of your projects - making it sound interesting and clear. Write down a version then say it out loud. Repeat until it is 15 seconds or under (likelihood is you’ll be way over first time around!) Use this to complete the Objective & Motivation field when you add the Project on to your resume :)
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