Project Name: Tech Blues: Improving Mental Health in Tech
My capstone project used real world survey data about mental health in the technology industry. My team performed a rigorous statistical analysis to identify what factors in the workplace have the most impact on an employee's mental health and workplace performance. Scikit-learn was used to develop a Random Forest Classifier and was tuned with a Grid Search cross validation. Using encoded data, we were able to predict instances of mental health interference in the workplace with an accuracy of 87%. We then determined feature importances by conducting a permutation importance analysis. We used those results to make suggestions on how a company could improve the quality of life and morale for their employees.
I have a background in Neuroscience research and an appetite for finding data-driven solutions to real world problems. I am inquisitive and always looking for ways to improve myself and the world around me.
leveraging data science methodologies and statistics to deliver insight and enact meaningful change
San Antonio, Austin, Dallas | Available for Remote Work
Consistent, adaptive, and conscientious
Inclusive, dynamic, impactful
