Currently an Extern @ARCeH·🟢 Open to work
I transform health data and workflows into dashboards and maps that highlight risks and support improved care decisions.
My portfolio includes TruBridge public health dashboards, IMH mental health care mapping and dashboards, and a Python analysis of children's environmental health for ARCeH.
.jpeg)
TruBridge · Feb 2026 · ✅ Verified by Extern
A TruBridge externship focused on healthcare data analytics, working with public datasets to analyze disease patterns and build dashboards and visualizations.
Institute of Mental Health · Apr 2026 · ✅ Verified by Extern
This externship explores how care coordination work in acute mental health settings can be designed, analyzed, and communicated as a customer-centric operational system. Externs study the case manager’s role at IMH to understand how workflows shape patient experience, surface hidden risks, and make invisible coordination work visible. Through structured analysis, process mapping, and dashboard prototyping, externs learn how operational clarity supports continuity of care, safety, and institutional decision-making.
I transform health data and workflows into dashboards and maps that highlight risks and support improved care decisions.
I am Marie Camara. I have some practical experience through healthcare-focused externships where I analyzed public health datasets, mapped care coordination workflows, and built dashboards to make invisible operations visible. I am exploring how data and process design can improve patient experience and operational decisions.
Externships
Data Analytics, Health Outcomes Externship with ARCeH
ARCeH
Experience
Business Analyst
AMDARI · May 2025 - Sep 2025
Education
Ascencia Business School
Master's degree in marketing and communication · Class of 2023
Skills
✅ Verified by Extern
A TruBridge externship focused on healthcare data analytics, working with public datasets to analyze disease patterns and build dashboards and visualizations.
The work examined national and state asthma datasets to measure prevalence, emergency department visits, and demographic patterns, then connected those indicators to socioeconomic and place-based variables. Analyses included descriptive statistics, regression, trend charts, and an interactive dashboard presenting county- and ZIP-level metrics. The work was awarded Top Performer by TruBridge.
I produced an analysis-ready dataset, ran descriptive and regression analyses on NYS childhood asthma, identified correlations between ED visits and socioeconomic, racial, and place-based factors, and built an interactive dashboard visualizing county- and ZIP-level disparities.
✅ Verified by Extern
This externship explores how care coordination work in acute mental health settings can be designed, analyzed, and communicated as a customer-centric operational system. Externs study the case manager’s role at IMH to understand how workflows shape patient experience, surface hidden risks, and make invisible coordination work visible. Through structured analysis, process mapping, and dashboard prototyping, externs learn how operational clarity supports continuity of care, safety, and institutional decision-making.
The work inventoried the case manager role, mapped clinic workflows, and prototyped a dashboard that quantified coordination tasks. Deliverables included a stakeholder map, scope-of-work table, workflow gap analysis, and a Claude-powered interactive dashboard with a change management plan. The work was awarded Top Performer by Institute of Mental Health.
I produced a stakeholder map and scope-of-work table, a catalog of workflow failures and hidden risks, a comparison of guidelines to local workflows that highlighted gaps in ownership and escalation, and a Claude-powered work‑quantification dashboard with a change management plan.
✅ Verified by Extern · ⏱️ In progress
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.
The externship converted public health and environmental data into an analytical framework for assessing under-five mortality drivers in the ARCeH region. The work defined analytic scope, mapped relevant datasets, and established methods for correlational analysis and causal limitation. Deliverables included a documented framework for how available public data could be used to measure and compare
I translated foundational concepts into a practical analysis approach, documenting what data analysis can reliably show, its limits, and how to structure correlational studies using public health and environmental datasets.
