TL;DR: I worked in public health for several years before learning Python, Tableau, and SQL and switching into a data science consulting role. I increased my salary by 45% and now make over $100,000.

This is where I received my MS in Epidemiology.

While I have many years of public health experience, my time working as a public administrative analyst at UCLA led me to data science. This role required me to work in regulatory compliance and data management for cancer clinical trials. While I delved into the oncology literature at this job, I also stumbled into learning about the role machine learning can play in predicting cancer and…


Eliminating the CKD-EPI equations race coefficient from kidney transplant eligibility criteria could reduce transplant wait times for African Americans thus reducing the disparity in time to transplant. Overall, African Americans who have higher rates of diabetes and hypertension are more likely to not get listed for a transplant compared to other groups and have longer wait times. (Schold et al.) Some argue that the race correction in the CKD-EPI equations estimation of glomerular filtration rate(eGFR) plays a role in this. Researchers argue that removing race from the biased algorithm for GFR estimation could help reduce the time to transplant.

The…


I recently finished working on data visualization in Tableau to display COVID19 data from the Coronavirus racial dashboard.

After automating a script in python to download the COVID19 data everyday and adding hospital bed and census data, a clearer picture of the health disparities with COVID19 emerged. I presented an early version of the dashboard at #BlackInDataWeek held by @blackindata and @blacktides1.

This data dashboard is especially relevant to now with record rates of people hospitalized for COVID19 in the United States. It would be helpful to know how states are the disparities in access to hospital beds are located…


TL;DR: I had a subject matter expertise in clinical research and I learned python and data science in 2 years with no prior programming experience. I got job as data scientist in August 2020.

Here is some background information on me. I graduated in 2006 with a Bachelor’s in Political Science. Currently, I am in a Master’s in Epidemiology at Georgetown University. Also, I completed a Certificate in Data Science from Georgetown University in Summer 2020.

Step 1:

Finding my niche

I was working in clinical research at UCLA from 2014–2016. This is while there was a significant breakthrough in…

Andrea Hobby

Data Scientist + Healthcare. Twitter: @ahobby9

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