Kiana Brigham

Kiana Bringham

What is your previous academic experience?

Master of Science in Analytics & Data Science

Bachelor of Arts in Economics and Political Science

What are your professional goals?

I chose to pursue a career in analytics because my favorite part of my undergraduate economics thesis was the statistical analysis aspect. My thesis was also related to healthcare which really interested me, and therefore my goal became to learn about analytics/data science with a healthcare focus. I hope to work as a data scientist in the healthcare industry, to reduce costs for patients as well as improve healthcare outcomes. 

What projects have you worked on?

Our summer practicum project involved an analysis of the United States death rates by county.  We searched for possible patterns in the data and compiled the death rates from the Center for Disease Control website, as well as county-level demographic information from the Census Bureau. After conducting exploratory data analysis and cluster analysis in Python over three time periods, we found that in the last time period (2013-2017) a new cluster emerged. This cluster had a death rate due to opioid overdoses that were at least three times the rate of all other clusters. When considering the demographics for the counties experiencing the jump in opioid overdoses, the drugs did not discriminate. Counties with varying racial breakdowns, average income levels, locations throughout the United States, and average age, among other demographic indicators were affected. 

How has your time at UNH had an impact?

I feel as though this M.S. program has helped me immensely in terms of expanding my knowledge of Analytics and Data Science as well as professional development. Every aspect of the education I received has been directly applicable to work I will conduct as a data scientist or analyst after this program. The professors are extremely knowledgeable and helpful and they drive us to produce high-quality work. I've become much more comfortable with presentation skills, as almost all of the work I have produced I had to also present to my Cohort. I was able to join a Data-Driven Women's Group, serve as the Vice President, and also attend the Women in Data Science Conference in Cambridge, MA with all of the women in my program. Throughout the course of the program, we were exposed to many industry speakers that taught us about how data science is applied in various settings. We have also been given the opportunity to study Lean methodology.  I earned my Lean Yellow Belt during the program. 

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