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Are You Making These Mistakes as a Data Scientist?
I think the one of the ones that we talked about that i think was really significant was just kind of tangling my own bias, in my own beliefs, with the data. And i think that that made me less effective as a data scientist erleon because people couldn't tell the difference between what i was arguing for and what the data said. I'm trying to be better at writing ty like rit more. Am, i have so many ideas in this kind of nometric store o space, and i have a lot of opinions about things that are not, you know, things that we're building that are kind of missing the point.