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jbaylisswagner/README.md

Hi there 👋

I'm Bayliss, a data and state politics reporter at the Austin American-Statesman.

In college, I:

  • majored in English lit and minored in Computer Science & French and Francophone lit and culture
  • reported and served as news and managing editor for The Swarthmore Phoenix
  • interned as a digital innovation / software/data developer at The Philadelphia Inquirer
  • spent a semester in Paris, France

Since then, I have:

  • written for USA TODAY as a fact-check reporting fellow for 1.5 years
  • spent a year teaching English and nannying in Marseille, France
  • written numerous freelance articles for The Swarthmore Bulletin and news page
  • joined the Statesman's newsroom ...just to give an overview.

I am interested in digital journalism and how we can use both humanistic practices and computational tools to inform, connect, and tell stories.

Popular repositories

  1. jbaylisswagner.github.io jbaylisswagner.github.io Public

    personal website

    HTML 1

  2. novel_parser novel_parser Public

    This Python file, created for a Digital Humanities assignment (woohoo), takes single novels or corpora of novels as input. The user can choose novels from these files and compare them. The program …

    Python 1

  3. authorclassifier authorclassifier Public

    This was a group final project for our CS65 Natural Language Processing course. We built a naive Bayes baseline and Bayesian classifier in order to see if we could train the latter to identify auth…

    Python 1

  4. combocalculator combocalculator Public

    This program calculates combinations and permutations using C++. I made it while I was teaching probability this summer because there was no wifi in my classroom and I didn't always have time to ca…

    C++

  5. dtphx dtphx Public

    First website prototype for 2019 DJNF digital media residency program on development boom in Downtown Phoenix.

    HTML

  6. recipe-classifier recipe-classifier Public

    Final project for CS63 Artificial Intelligence, with partner. We trained a neural network to classify recipes by type of cuisine (Indian, French, etc.) based on their ingredients.

    Python