Project Name: Houston, We Have a Pay Gap.
Using data acquired from the Texas tribune, our group created a machine learning model that predicts a Texas government employee’s annual salary based on demographic information including race and gender. We employed the data science pipeline by preparing our data, conducting feature engineering, executing statistical tests, and creating visualizations using Python and Tableau. We created multiple competitive regression models and ultimately were able to predict an employee’s salary within a $20,000 variance.
I am a mathematically inclined professional who excels in deriving relevant insights from raw messy data.
leveraging my mathematical skills and practical experience in analysis to transform data to provide direct answers with actionable recommendations.
San Antonio, TX | Remote Opportunities
Curious, Reliable, Diligent
Challenging, Analytical, Creative
