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One of the biggest worries before changing to data science is inexperience. It's natural to think that what you're doing right now is not relevant and that it's too late for you to switch to data science. But what you work on now does not stop you from pursuing a career in data science. In this episode, we learn about Meg's transition into data science after years in academia.
Meg is a senior data scientist at Spin, an e-scooter sharing company. She has started her work-life in ecology research. After working in academia for a while, she decided to change the course of her career and took the leap towards data science.
We talk about her journey, the resources she used, her work life, daily challenges she faces and much more in this episode. Don't miss it!
Available on: Spotify, Apple Podcasts, Anchor, Youtube and many other podcast platforms