Hey, I’m Maria.

A young woman with long brown hair, wearing a cream knit sweater, smiling, sitting against a pink background.

I help organizations turn complex data into actionable insights that drive member outcomes and revenue growth.

My Approach

Hypothesis-Driven

Forming clear, testable hypotheses and validating with data to ensure focused and measurable insights that are directly tied to improving member outcomes and business performance.

Data-Driven

Relying on data as the foundation of decision-making by conducting rigorous analysis to uncover trends, inform strategy, and guide actions that enhance revenue and operational efficiency.

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A clean, minimalist workspace with a laptop, two mugs, a closed notebook, pens, white books, a desk lamp, a small round container, and a chair with a gray cushion.

7+ Years of Leveraging Data

Experience in statistical analysis, data visualization, and predictive modeling
Proficient Data Analyst

Proficient in SQL, R, Tableau, Excel, and Python
Education

M.S. in Health Informatics & Analytics (UAGC)
B.S. in Statistics & Data Science (UCSB)

HealthSync Alliance Transformation Program

a comprehensive transformation plan to address the needs of the hypothetical mid-size integrated healthcare delivery system (IDN) HealthSync Alliance encompassing the development and implementation of a unified digital health platform, patient-centered mobile health (mHealth) application, and predictive analytics

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Projects

GlucoSync mHealth Application

a prototype of the mobile health (mHealth) application, GlucoSync, to address the public health initiative of improving chronic disease management and addressing issues with existing diabetes management

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Heart Disease Data Visualizations

a collection of insightful visualizations illustrating the impact of the heart disease public health crisis on U.S. adults from 2018 to 2020 from CDC-published heart disease mortality data

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