Quality Over Quantity: Building the Perfect Data Science Project


The author works at SharpestMinds, a data science mentorship program. His advice draws on a large sample from the real world.

From what I’ve seen, a large fraction of aspiring data scientists get stuck in a spiral that involves building more and more data science projects with tools like sklearn and pandas, each featuring only incremental improvements over the last.
What I want to explore here is a way to break out of that spiral, by using some key lessons we’ve learned from seeing dozens of mentees leverage their projects into job interviews and ultimately, into offers.

If you're in the portfolio-building process right now, this is a must-read.


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