Data Analytics Enthusiast in Healthcare

Kimberly Aron portrait
ARCeH logoCurrently an Extern @ARCeH

I'm Kimberly, a Data Analytics M.S. candidate dedicated to transforming healthcare operations through data-driven insights. Let's innovate together!

Work samples

Discover my work in data analytics, featuring projects in SQL, Tableau, and Excel that showcase my skills and commitment.

  • Data Analytics, Health Outcomes Externship with ARCeH
    Data Analytics, Health Outcomes Externship with ARCeH
    ARCeH logoARCeH✅ Verified by Extern⏱️ In progress

    Data Analytics, Health Outcomes Externship with ARCeH

    Here’s what the data says: put a pin in Bangkok. Draw a five-hour flight radius around it. You just circled half the world's population. And half of those people are kids under five, an age where survival itself isn't guaranteed. Five isn't an arbitrary number: it's the line researchers use as a proxy for a country's overall health, because almost every preventable childhood death, driven by a bad water source, poor air quality, or an infection nobody caught in time, happens before it. Clear five, and the odds of reaching adulthood jump astronomically. Don't, and the cause almost always traces back to poverty, healthcare access, environmental risk, or nutrition, something that could have been mapped, measured, and prevented in time. That's the gap this externship exists to close: turning scattered, messy public data into a specific, defensible answer about what's actually driving that risk in a given place, and pass it to the people at ARCeH who want to know about it.

    Data AnalysisData VisualizationData Storytelling

About me

I'm Kimberly, a Data Analytics M.S. candidate dedicated to transforming healthcare operations through data-driven insights. Let's innovate together!

M.S. Data Analytics candidate with experience in data analysis, cross-functional communication, systems thinking, and sensitive data management. Seeking to combine skills in SQL, Python, Tableau, Power BI, Excel, and translation of complex data for operational improvement and decision-making. Mandarin Chinese proficiency ensures I am suited to support global, diverse teams.

Externships

Data Analytics, Health Outcomes Externship with ARCeH

ARCeH

Experience

Data Analytics Health Outcomes Extern

ARCeH (Advancing Research for Children’s Health) · Aug 2026 – Nov 2026

Member Experience Manager

Weekend Health · Jan 2024 – Feb 2025

Health Coach

Noom Inc. · Sep 2019 – Nov 2022

Education

Eastern University

MS, Data Analytics · Class of 2027

University of Wisconsin-Madison

Transfer Credit, Business Analytics

University of Florida

BS, Family, Youth and Community Sciences

Skills

ExcelTableauPythonPower BISQLData visualizationBusiness intelligenceSystems thinkingHealthcare data managementChange managementWorkflow analysisMicrosoft OfficeAttention to detailCross-functional communicationMandarin Chinese

✅ Verified by Extern · ⏱️ In progress

Data Analytics, Health Outcomes Externship with ARCeH

Here’s what the data says: put a pin in Bangkok. Draw a five-hour flight radius around it. You just circled half the world's population. And half of those people are kids under five, an age where survival itself isn't guaranteed. Five isn't an arbitrary number: it's the line researchers use as a proxy for a country's overall health, because almost every preventable childhood death, driven by a bad water source, poor air quality, or an infection nobody caught in time, happens before it. Clear five, and the odds of reaching adulthood jump astronomically. Don't, and the cause almost always traces back to poverty, healthcare access, environmental risk, or nutrition, something that could have been mapped, measured, and prevented in time. That's the gap this externship exists to close: turning scattered, messy public data into a specific, defensible answer about what's actually driving that risk in a given place, and pass it to the people at ARCeH who want to know about it.

Data AnalysisData VisualizationData Storytelling

Overview

The externship converted public health, environmental, and demographic data into an analytic foundation for understanding under-five mortality drivers in the Bangkok region. The work reviewed data sources and analytical limits, defined suitable correlational approaches, and produced a structured plan for measuring associations between environmental, access, and nutrition indicators and child

Data Analytics, Health Outcomes Externship with ARCeH

What I've accomplished

I framed the analytical scope and constraints, clarifying which questions the available data could answer and which required different methods or data sources.

Project breakdown