To err is human. And who is more human than us data scientists when measured by that metric. The important thing is to look at our mistakes. And learn from them. A data scientist needs to be critical and always on a lookout of something that others miss.
But sometimes in our day to day job and coding perse, we get lost in our train of thought and fail to look at the overall picture. In the end, our business partners have only hired us to generate value, and we won’t be able to generate value unless we develop business critical thinking. So here is some advice that one can include in the day to day data science work to be more diligent and more impactful at the same time.
Author: Rahul Agarwal
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