User Avatar

David Miller

3y ago

Accountant → Data Scientist | Writing about the business of data science. Helping you create impact with data and machine learning.

5 Questions To Ask Before You Start Your Next Data Science Project

I reviewed over 100 resumes in building a data consulting team from 5 to 30 people.

The hard truth?

Most portfolio projects are boring. And 99% of candidates do one of three things:

  1. Show up with 0 projects to discuss

  2. Create surface-level tutorial projects

  3. Abandon independent projects before they're finished

But that means there's good news for you.

You only need 1 (top-notch) project to stand out from the crowd.

How to build a top-notch project?

Use this 5 question framework and avoid boredom and burnout:

  1. What problem am I solving?

  2. Why is it important to me?

  3. What data do I need?

  4. What skills will I learn?

  5. What is the final product?

The all-in-one writing platform.

Write, publish everywhere, see what works, and become a better writer - all in one place.

Trusted by 80,000+ writers