Angelica Ponce portrait
ARCeH Externship via Extern

I turn public health data into clear, local answers

I analyze scattered datasets to identify factors behind under-five mortality and pinpoint where action will help the most.

Work samples

Selected work from a Data Analytics, Health Outcomes externship with ARCeH: cleaning public data, mapping risk drivers, and producing location-specific findings for program use.

  • Data Analytics, Health Outcomes Externship with ARCeH
    Data Analytics, Health Outcomes Externship with ARCeH
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    ARCeH · ✅ 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 analyze scattered datasets to identify factors behind under-five mortality and pinpoint where action will help the most.

I work with public health data to find what drives childhood mortality and where interventions matter most. I turned messy, public datasets into clear, location-specific answers during a Data Analytics, Health Outcomes externship with ARCeH. I am early in my career and exploring how to apply data to health policy and program design.

Externships

Data Analytics, Health Outcomes Externship with ARCeH

In progress

Experience

Data Analytics Extern

Advancing Research for Children's Environmental Health · September 2026 – Present

DI Services Coordinator

UT MD Anderson Cancer Center · January 2026 – Present

Financial Clearance Coordinator

UT MD Anderson Cancer Center · April 2024 – January 2026

Patient Service Coordinator

UT MD Anderson Cancer Center · June 2022 – April 2024

Medical Office Coordinator

HCA OB/GYN Practice

Education

Lamar University

MBA, Healthcare Administration · Class of 2027

Southern New Hampshire University

BBA, Business Analytics · Class of 2025

Skills

Public health data analysisData cleaning and wranglingSpatial mapping and radius analysisInterpreting drivers of under-five mortalityTranslating data into program recommendations

✅ 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 turned public health datasets into focused analyses of factors linked to under-five mortality in the ARCeH region. The work reviewed data sources, clarified analytical limits, and applied correlational methods to identify measurable risk factors. Deliverables documented what the data could and could not show for local health outcomes.

Data Analytics, Health Outcomes Externship with ARCeH

What I've accomplished

I translated foundational concepts of data analysis into a practical framework for health-outcomes work, setting clear expectations for data capabilities, limitations, and the analyst role before deeper modelling and exploration.

Project breakdown

View all work