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1. Transgender_Reddit_NLP Transgender_Reddit_NLP Public

   Examining the key concerns of the transgender community before and after Obergefell v. Hodges using a corpus from the r/ asktransgender subreddit through the use of topic models.

   R

2. Reddit_SparkML Reddit_SparkML Public

   Predictive models using Reddit comment data from October 2018 to January 2019 to identify whether or not a post is `stickied` or contains a `no_follow` link using SparkML.

   Jupyter Notebook

3. EU_Power_Sector EU_Power_Sector Public

   RShiny App exploring the energy transition in the EU towards decarbonization

   HTML

4. US_Power_Sector US_Power_Sector Public

   Using PUDL’s SQLite Database to map and analyze how the US's power sector has evolved over time both in terms of quantity of power plants (by primary fuel) and percentage of coal generation.

   Jupyter Notebook

5. Saudi_Exam_Scores Saudi_Exam_Scores Public

   Automated web scraping using Selenium and BeautifulSoup in python to extract 1,756 data points on exam results by school, exam type, gender, and track for private schools in Saudi Arabia.

   Jupyter Notebook

6. CO2_Emissions_PP CO2_Emissions_PP Public

   Sample code from the work I produced as an intern at WRI in 2019 including web scraping and predictive modeling. The full codebase will be available open-source soon.

   Jupyter Notebook