If you don’t have a job as a data scientist, you should be trying to grow your portfolio. The only way a recruiter is going to consider your resume these days is if you have experience. So without work experience, a portfolio is the only other method of showing you have experience.
And if you are working on a personal data science project, making your data science projects interesting is actually a major key to success. Recruiters can’t tell if your paper about hyper-parameter tuning of a machine learning model is actually brilliant, so you need a different strategy to impress them. You may have one of two problems, boring data or having a boring front end to your work. I’ve outlined the best way not to just avoid these problems, but to move up what I consider to be levels of intrigue.
Author: Brandon Walker
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