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  • Asheville, NC
  • 16:32 (UTC -04:00)
  • LinkedIn in/kyleinfo

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  1. Kickstarter-analysis Kickstarter-analysis Public

    Used pivot tables on Kickstarter data to visualize trends based on campaign goals and outcomes.

  2. School_District_Analysis School_District_Analysis Public

    Used Python to collect student data to prepare a cleaned DataFrame to help analyze data at a fictional school district.

    Jupyter Notebook

  3. surfs_up surfs_up Public

    Used SQLite, SQLAlchemy, and Flask to analyze weather data for a possible investment opportunity.

    Jupyter Notebook

  4. Crowdfunding-ETL Crowdfunding-ETL Public

    Perform the Extract, Transform and Load (ETL) process to create a data pipeline on Kickstarter datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.

    Jupyter Notebook