Summary
Marissa Pagador is a Senior Machine Learning Engineer in San Francisco with eight years of hands-on experience building data pipelines, ETL systems, and production ML solutions across healthcare and consultancy environments. A UC Berkeley Data Science graduate, she has moved from firmware and cloud-focused internships into data engineering roles where she designed robust ingestions, dbt-driven transformations, and BI dashboards to drive decision-making. At CVS Health she applies her practical experience with APIs, SQL, Python, and data modeling to scale ML efforts for the Aetna platform, while previously acting as Scrum Master on cross-functional initiatives. Comfortable bridging research, teaching, and production, she has taught Data 8 labs and contributed to atmospheric sensor research—an uncommon blend that sharpens her ability to translate messy real-world signals into reliable models.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Data Science, Bachelor of Arts - BA Data Science at University of California, Berkeley
St. Patrick - St. Vincent High School
English, Tagalog