Project Name: Houston, We Have a Pay Gap: Predicting Current Texas Public Employee Salaries
This project created regression models that predicted the annual salary of current Texas Government employees. The goal of this project was to find key drivers that influenced the annual salary of these employees. While exploring the data we used seaborn and scipy stats to visualize variable relationships. We also answered important questions such as: are there discrepancies for annual salary among races or genders? Lastly, we used scikit learn for regression modeling our best performing model was a 2nd degree polynomial with an r-squared value of 0.38 and an rmse of 20108.9 dollars.
I am a determined and results driven data scientist with a strong work ethic, technical skills, and keen insight for machine learning business applications.
I am most passionate about all things machine learning. More specifically using my creativity and business insights to feature engineer data and find key drivers for any data science project.
San Antonio, Austin, TX | Remote Opportunities
Communicative, Efficient, Dependable
Challenging, Collaborative, Engaging