Project Name: Houston, We Have a Pay Gap: Predicting Texas Public Employee Salaries
Despite being a touchy subject, salary figures are a critical data point for organizations who value diversity, equity, and inclusion. Using data acquired from The Texas Tribune, our goal was to create a regression model that predicts a government employee’s annual salary based on demographic information. In doing so we provided a methodology for companies and organizations who seek to analyze their own salary data. Possible outcomes of this type of analysis include: eliminating arbitrary biases in salary decisions, improving employee satisfaction, and reducing turnover.
I am an inquisitive social scientist and educator turned data professional. My analytical mindset, empathy, and sense of ethics aid me in designing actionable products, experiences, and reports. Above all else, I am detail-oriented and an effective communicator.
crafting an engaging story and creating useful data products.
San Antonio, Texas | Remote opportunities
Creative, empathetic, organized
Social impact, continuous learning, collaborative