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COVID-19 Data Science Project

As a part of the preparation for my analyst position at Optum, I was assigned a data science project dealing with publicly available COVID-19 data for the month of March in each US state. I conducted analysis of the growth rates of the number of infections and modeled the data using the widely cited exponential model for COVID-19. This allowed me to make predictions and provide insights into the destructive potential of the virus, as well as shed light on how unrealistic a true exponential model is.

Check out some pictures and files below as well as the GitHub for this project!

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Download to dive deeper

COVID-19 Analysis

PDF File

The main analysis PDF with included code, discussions, and results.

Jupyter Notebook

ipynb file

The original Jupyter notebook for this analysis.

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