Domingo Moronta is a data science professional with 11 years’ experience turning messy data into actionable insights for public health and healthcare operations. As a Senior Data & Program Analyst at Santa Clara County he built MDM protocols, automated ETL and Python rules to improve reimbursement accuracy and reduce duplicate encounters, regularly briefing executive leadership. His background includes geospatial and cartographic standardization at Los Angeles County Public Health and market research and evaluation roles that shaped program design across large municipal systems. Trained through Springboard’s rigorous Data Science Fellowship, he combines SQL, Python, hypothesis testing and ArcGIS to deliver reproducible analytics and clear visual narratives. Domingo’s work habitually focuses on operationalizing analytics—creating guides, scripts and validation rules so insights scale and endure beyond individual projects. Based in San Jose, he brings a user-centered mindset to data work, aiming to surface what truly delights and helps end users.
10 years of coding experience
1 year of employment as a software developer
Master of Public Health (MPH), Master of Public Health (MPH) at New York University
Bachelor of Arts - BA, Bachelor of Arts - BA at University of Rochester
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