Data-Nash
In this YouTube video, a data scientist in the UK talks about "shipping," a concept that means completing work and turning ideas into finished products. She focuses on finishing a Tableau e-commerce dashboard in the morning and plans to work on a machine learning project for trading sentiment and classification after lunch while also working on a personal project during lunch. In another section of the video, a data scientist talks about his experience with Tableau and his progress on a project, which he plans to finish the next day, while preparing for his first-ever podcast appearance on Ken's podcast channel, Nearest Neighbors.
In this section, the data scientist explains the concept of "shipping," which means completing work to turn ideas into finished products. At a startup, the speaker has many projects going, and she needs to complete a few first drafts that are lying around so that she can move on to more high-value work. One of her main focuses for the day is finishing a Tableau e-commerce dashboard, which is scheduled for her morning session. After lunch, she plans to work on a machine learning project for trading sentiment and classification. During lunch, she also takes some time to work on her personal project, a newsletter for data science.
In this section, the data scientist talks about his experience with Tableau and mentions that it's a valuable skill to have. He then talks about his progress with his current project, mentioning that he did not ship today due to some issues he had to rework but will hopefully finish tomorrow. Additionally, the data scientist mentions that he didn't get to work on the NLP part of the project due to a busy day. He prepares for his first-ever podcast appearance, which he is excited about and will appear on Ken's podcast channel, Nearest Neighbors. He then concludes that it has been a long day and plans to continue the project progress tomorrow.
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