Project Name: America's Blues: An Analysis of Fatal Police Encounters
Our four-member capstone team acquired a data set from MappingPoliceViolence.org, which has gathered over 9000 police killings from 2013 to May 2021. We collaborated to clean and prep the Excel spreadsheet. After developing our initial hypotheses, we will use Pandas, Seaborn, Matplotlib, and Tableau to explore our ideas. Top drivers of civilian fatalities identified will shed light on changes to be made to save more lives. We then used Scikit-Learn on multiple encoded features to apply to our classification models predicting whether the victim was indeed an attacker. Our final predictive model had an accuracy percent improvement of 39%
As an Army veteran, I have a unique experience meeting tight deadlines under tremendous stress while remaining calm and collect. I will bring a goal-oriented focus and a sense of pride to whatever tasks are brought before me.
finding meaningful solutions that help guide my organization to success.
San Antonio, TX
Dedicated, analytical, and growth-oriented
Data Engineer, data scientist, team-oriented
