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zloomas/README.md

Greetings 👋

Hi, I'm Zach!

About me 🤓

  • Florida Man 🌴 currently in Virginia
  • One dog that loves me, one cat that chooses to be nice to me sometimes
  • Professional question asker, ever determined to get to the bottom of things 🤔
  • Started in psychology, now a general data engineer
  • Lifelong learner

Recent projects 👨‍💻

I like to stay busy and try out new tools (and/or just play with data). Most recently, I've been working on:

  • Squirdle is the Pokémon response to Wordle, where you guess a Pokémon and get feedback on how your guess compares to the secret target Pokémon.
  • I've played at least one game from every generation of the series, but I'm an old man so I don't really know any Pokémon after about Generation 4 (there are currently 9 generations).
  • It was driving me crazy to feel like I could never get the target Pokémon if it came from Gen 5+, so I wanted to build an automated player to supplement the gaps in my knowledge. Then I wanted that player to actually be good, so I tried to help it get any secret Pokémon in as few guesses as possible.
  • My patent-pending Squirdle Solver:tm: uses something like a binary search approach to iteratively guess the median Pokémon given the set of remaining possible guesses. "Median" takes into account all 5 features that the game provides information about: generation, type 1, type 2, height, and weight.
  • Pro tip: start with Simipour! :droplet::monkey:
  • Used data from the Open Science Framework to profile the collaboration network of current staff (in March, 2022) at the Center for Open Science.
  • Data was gathered via the OSF API (thank you amazing devs for amazing docs!) using the requests module in Python.
  • Storage managed locally in a SQLite DB.
  • Analysis and report done in Jupyter Notebook with pandas and matplotlib.
  • Used data from Web of Science to create a citation network visualization centered on Dr. Mark Davis.
  • Mark is a family friend who retired from a career as a research psychologist in 2020, and this was his Christmas present to commemorate his impact in the literature.
  • Data was gathered manually from WOS then processed in Python with pandas.
  • Visualizations created in R using ggplot2 enhanced with ggraph.

Continuing education

Popular repositories Loading

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    Exploration of current COS collaboration network as found on the Open Science Framework.

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