Project Name: Evaluating SVI as predictor of COVID in San Antonio
The CDC's social vulnerability index (SVI) predicts the vulnerability of a population in the event of an emergency or natural disaster. COVID is the first global pandemic since the development of this measure. We are evaluating the association between SVI score and COVID case count in San Antonio, TX. Feature engineering will examine the predictive value of categorical SVI score, SVI flags, and change in SVI. The goal is to determine which features best predict COVID cases by zip code within San Antonio.
I am experienced in developing unique solutions to challenges and finding the answers stakeholders need from their data with a growing data scientist skillset. I have learned how to adapt quickly to changing needs in a business, stay calm and communicate effectively.
discovering insights in the data because of its potential to impact meaningful decisions.
Open to work anywhere.
Innovative, passionate, and curious
Modeling, team environment, varying challenges