When I was writing about the project roll call last week, it was surprising to me just how little I’ve talked about all of the other projects I’m running and currently working on. Though the baseball analysis has come down to the “compile findings together” phase, and I have plenty I could talk about with

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Sometimes I get too excited about my projects and just want to talk about them all, all the time, so that’s what this is. A chance to catch you all up on everything that’s going on, but also to spill about everything. What’s almost done: Curveballs v Fastballs (https://github.com/Katherine89Lee/Curveball-Data) It’s kind of wild to consider

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I had every intention of writing this post last Wednesday night, but as a celebration for finishing the program, my partner took me out to dinner, and then we settled down to play that new game where you play as a kitty, Stray. It was very important, I rode in lots of buckets and meowed

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I admit that I was hoping to have a little more to talk about here for this post, but most of it is about cleaning data. That doesn’t seem too unusual, considering so much of the data analyst and scientist’s work tends to be cleaning. With that being said, I do want to focus on

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Of all of the wide, vast amounts of data available for public use and analysis, I was hardly expecting to be excited about and want to work on a baseball dataset, daily. I’ve done a machine learning model and algorithm so far, but what I haven’t done is take an analysis and really show something

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The most intimidating thing about being chosen for this residency program was knowing that I was chosen, along with 9 other women, out of about 80 or more applicants. I’m not sure what you would do in this situation, but I started to stress out. Imposter Syndrome kicked in and I was so worried that

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