Psychological Risk Factors for Suicidal Thoughts in Older Adults

Analyzed psychosocial predictors of suicidal ideation in 3,377 older adults using the MIDUS 3 national longitudinal dataset, applying multiple logistic regression, correlation analysis, and descriptive statistics in SPSS and R Performed data cleaning, missing value handling, and confounder identification to ensure data accuracy and analytical reproducibility Interpreted statistical outputs and prepared structured data analysis reports and presentation materials summarizing key findings Contributed to a co-authored manuscript under peer review at the Pan American Journal of Public Health (2026)

Statistical Analysis of Risk Factors for Kidney Failure

Analyzed relationships between cardiometabolic risk factors (BMI, blood pressure, cholesterol) and renal function (GFR) in 3,377 adults using the MIDUS 3 dataset Applied ANOVA, multiple regression, and correlation testing in SPSS, ensuring data accuracy and integrity throughout the analytical pipeline Prepared data analysis reports and contributed to academic presentation of findings

✅ Verified by Extern

TruBridge Healthcare Data Analytics Externship

A TruBridge externship exploring healthcare data analytics, statistical modeling, and dashboarding using large public datasets.

✅ 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.