Summary
Keria Bermúdez-hernández is a senior data scientist with a PhD in Neuroscience and over ten years of experience applying rigorous statistical methods and machine learning to drive product and business decisions. She has led analytics teams and productionized forecasting models at Sonos and Yahoo, implementing AWS SageMaker, dbt, Snowflake, and Tableau to deliver weekly forecasts and KPI dashboards used by finance and product leadership. Keria is a hands-on technical leader who built the first SageMaker codebase and code-review workflow for her organization, and who regularly translates complex customer-behavior signals into actionable strategy—such as revealing how product bundling and launches affect lifetime value and churn. A committed mentor and educator, she organized a company-wide SQL course and has guided multiple data scientists and analysts, blending academic rigor with pragmatic delivery. Based in New York, she combines deep domain expertise from academic imaging and neuroscience with practical engineering skills to turn messy data into repeatable, high-impact insight.
10 years of coding experience
14 years of employment as a software developer
Colegio San Antonio
Doctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at New York University
B.S., Biology, B.S., Biology at University of Puerto Rico, Rio Piedras
English, Spanish