Amanda Danielle Perez, PhD.
I am a Data Scientist and UX Researcher with expertise in statistical modeling, data analytics, and machine learning. My background in mixed-methods research and social psychology has shaped my ability to extract meaningful insights from complex datasets. As a Postdoctoral Researcher at NIH NIMHD and UC Berkeley School of Public Health, I have applied advanced statistical techniques and both quantitative and qualitative approaches to investigate health disparities and social determinants of health.
I specialize in R, SQL, and data visualization tools to optimize workflows, build predictive models, and communicate data-driven insights to diverse stakeholders. My passion lies in solving real-world problems with data, whether through predictive analytics, dashboard development, or user research.
Beyond my work, I enjoy spending time with my pets, building LEGO, cooking, and crocheting.