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  • New York, NY
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jessieblaeser/README.md

Hi there, I'm Jessie! 👋

intro_stuff = {
    'pronouns': 'she_her',
    'focus': ['environment', 'social_justice', 'labor_rights']
    'place': 'columbia_graduate_school_of_journalism'
    'analytics': ['python', 'pandas', 'sql', 'scraping', 'excel', 'pivot_tables'],
    'collection': ['scraping', 'selenium', 'beautiful_soup', 'api_integration', 'html'],
    'vis': ['geojson', 'qgis', 'matplotlib', 'datawrapper', 'mapbox'],
    'multimedia': ['audio_production', 'video_production'],
    'interests': ['running', 'bakery_reviews', 'broadway', 'georgia_sports'],
    'nicknames': ['blaze', 'blaeser', 'jblaze']
  • 🔭 Currently working on: a GoodReads scraper.
  • 💬 Ask me about: my latest baking project.
  • 📚 Currently reading: Damnation Spring by Ash Davidson

Latest Published Pieces

--> New York’s once-booming oil industry and the risky wells it left behind, City & State Magazine

Pinned

  1. Autoscraper-Houston-NPR Autoscraper-Houston-NPR Public

    An scraper that takes the top stories from the Houston NPR site every 5 minutes.

    Python

  2. Federal-Court-Nominees-Scrape-and-Analysis Federal-Court-Nominees-Scrape-and-Analysis Public

    A scraper built to pull information from the Senate Judiciary Website. This scrapper ultimately creates a map categorizing current federal court nominees based on their pro bono work experience.

    Jupyter Notebook

  3. Oil-and-Gas-Wells-in-NYS Oil-and-Gas-Wells-in-NYS Public

    Forked from ilenapeng/wells

    Analysis and webpage for reported article on abandoned wells in New York State

    Jupyter Notebook

  4. Pipeline-Incident-Map Pipeline-Incident-Map Public

    Looking at significant pipeline incidents since 2010 and mapping the most expensive types of incidents.

    Jupyter Notebook

  5. Ticket-to-Ride-Europe Ticket-to-Ride-Europe Public

    Analyzing the best tactics when playing the classic board game based on other players' most likely decisions.

    Jupyter Notebook 1 1

  6. Trae-Young-Impact Trae-Young-Impact Public

    Measuring how much Young improves his teammates' statistics

    Jupyter Notebook