Project Name: Tech Blues- Mental Health in Tech
The goal of this team project was to identify which features in the workplace impacts an employee's mental health and workplace performance. The Scikit-learn models we used were Decision Tree, Random Forest Classifier, XGBoost, Multi-layer Perceptron Classifier and we tuned models with a Grid Search cross validation. Our best model was the Random Forest Classifier with an 86% accuracy score. This beat our baseline model by 23%. We used data science in this project to provide data-driven recommendations to help improve work environments and provide business solutions to increase workplace morale and general quality of life.
I have the drive to solve analytical problems to create actionable insights. As a life-long learner I enjoyed gaining the skillset needed for data science and I can't wait to continue to add to my skillset.
investigating hidden relationships in the data and using visualization techniques to tell their story.
San Antonio, Texas | Austin, Texas | Remote Opportunities
Analytical, interpersonal, determined
Professional growth, challenging, and collaborative environment