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Analyzing Cardiac Medical Devices with a Machine Learning Method
My PhD dissertation topic involved analyzing adverse cardiac medical device events from the FDA’s MAUDE database. Focusing on years 1997 through 2017, textual data was analyzed with machine learning methods to examine the effects of specific failures on patients. The purpose of this project was to create awareness regarding cardiac medical devices-creating a standard in research, to promote information sharing and knowledge transfer, as well as informing the general public.

Crime Analysis
Supervised Learning: Police Incidents within various census tracts in Albuquerque, New Mexico were predicted based upon factors such as median age and income using supervised learning and statistical approaches. This analysis can be beneficial for law enforcement to gauge where to potentially expect calls to originate from.

Customer Segmentation
Unsupervised Learning: This project analyzed customer spending using unsupervised learning techniques for further insight about customer base. This analysis would be useful in understanding the needs of customers and applying resources to meet their needs in a more prompt manner.

Data Wrangling
A mini-project to clean and normalize U.S. Geological Survey (USGS) data and merged with a data obtained from The Indian Health Service. The purpose of this project is to demonstrate data wrangling (data pre-processing) that is typical before analysis.

Finding Donors
Supervised Learning: A model was designed to predict whether an individual earns more than $50,000 annually to identify potential donors for an organization. This type of analysis would be useful for non-profits or organizations that rely on donations as a source of revenue.

Poverty, 2017
This project provided a visualization of poverty in The United States by state and county for year 2017. The purpose of this is to demonstrate how to communicate results in a visual format to be easily understood by a wider range of audiences.

Unidentified Flying Objects (UFO) Sightings in the USA, 1940-2017
Tableau Visualization: This visualization conveyed UFO sightings across the United States starting in 1940. The Eastern United States appeared to have a higher concentration of UFO activity.



The State of Analytics Education with Angela Baltes

From GED to PhD: An Unconventional Journey to Data Science
Career Success featuring Angela Baltes

Artists of Data Science Podcast

The Unconventional Data Scientist

Experian DataTalk

Free the PhD

Humans of Data Science Interview

Management Information Systems Association Meeting
Guest Speaker Angela Baltes

Open Data Science Conference Panel
Applied AI: Stories From the Front Lines


MHA-GP 4872: Data Visualization

Graduate Course, NYU Robert F. Wagner Graduate School of Public Service, 2021

Adjunct Faculty/Lecturer
Data Visualization is a graduate-level course that students in NYU’s Master of Health Administration will take in order to gain practical skills in data visualization.