Data Scientist
Current• Designed, built, and deployed a regulatory compliance platform to track errors in sampling for drinking water producers. The platform integrates the rules of the entire Title 22 regulation by primarily using Python with SQL as the database, and demonstrated that compliance errors were extremely common. This project was presented at the West Big Data Hub conference in August 2023.• Have done extensive integration of census API to look for correlations between geographic location, socioeconomic factors, and how well water utility companies comply with public health regulations. This project involved extensive use of the Census API as well as machine learning, artificial neural networks, and GIS tools.• Generated patient outcome analysis for Covid doctors (Pulmonary Intensivists) at a major California hospital network to determine relative performance during pandemic using a custom model that controls for impact of the pandemic.
