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SEC Finance Data Engineering - ETL process for SEC Finance data of S&P 500 companies. Jupyter Notebooks to run ETL work flows. The final dataset is hosted in MongoDB Atlas(cloud). The API is written using Python with PyMongo and Flask libraries. The dashboards with charts are hosted in MongoDB Atlas.

  • Updated Mar 5, 2024
  • Jupyter Notebook

The goal of this project is for the team to take EV (Electric Vehicle) Charging station data and show the efficiencies of different EV model would perform traveling across the country. Using Heroku as well as Jupyter Notebook, Python, and PyMongo, develop an app that is user-friendly and responsive to display trends and relationships among the d…

  • Updated Jun 20, 2023
  • HTML

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