Emily Bossiere is a data reporting and analytics consultant with eight years of experience turning complex datasets into actionable business insights across media and healthcare. She blends full-stack web development (Node.js, React, MongoDB) with data engineering and analytics—building dashboards, automations, and NLP models that have driven multi-million-dollar operational savings at Kaiser Permanente and streamlined reporting at Warner Bros. Discovery. Comfortable with Python, SQL, Tableau, and Microsoft LUIS, she pairs hands-on coding with process design, creating SOPs and repeatable pipelines. Based in Santa Barbara, she started in web roles at UC Merced and has a knack for shipping practical tools (including an internal Node/Express app) that reduce friction for cross-functional teams. Notably, she has moved from front-end content work to deploying production NLP screening integrated into patient booking systems, showing a rare mix of user-focused web skills and applied machine learning.
8 years of coding experience
4 years of employment as a software developer
UC Santa Barbara
Computer Engineering, Computer Engineering at Santa Barbara City College
Bachelor of Science - BS, Computer Science and Engineering, Cum Laude, Bachelor of Science - BS, Computer Science and Engineering, Cum Laude at University of California, Merced
Contributions:9 pushes, 1 branch in 1 year 8 months
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