Hello! My name is Sammie, and I am a data professional with a passion for statistics, programming, and all things Data Science! I received a Master's degree from Kennesaw State University in the major of Applied Statistics and Data Analysis, where I grew the skill-set to tackle live problems as I learned the intersection of programming, statistics, and data science.
It was during this time period that I realized that I had a great love for teaching. As I taught 50+ graduate-level students...
Hello! My name is Sammie, and I am a data professional with a passion for statistics, programming, and all things Data Science! I received a Master's degree from Kennesaw State University in the major of Applied Statistics and Data Analysis, where I grew the skill-set to tackle live problems as I learned the intersection of programming, statistics, and data science.
It was during this time period that I realized that I had a great love for teaching. As I taught 50+ graduate-level students in the area of statistical programming as applied to healthcare, I saw, firsthand that data literacy can greatly impact the trajectories of the next generation, as it did the students I've helped. Whether it was the foundations of importing data into SAS from different file formats, preparing the data for statistical interpretation, or teaching the foundations of linear regression and interpretation on real-world healthcare data, each step it seemed, was critical in shaping the minds of the future.
I further developed my abilities as an instructor as I worked at the CDC's Division of STD Prevention in the capacity of a public health data analyst. During this time, in addition to solving vital problems in data modernization and visualization, I served as an instructor/tutor on the use of the R programming language as applied to epidemiology. During this time period, I taught my fellow colleagues the art of data cleaning and manipulation using the TidyVerse package, the application of statistical algorithms to public health, and the meaning behind the numbers derived from predictive statistics. Our team would go on to receive the presidential recognition award for our efforts in improving division data literacy, validating our collective efforts in improving data literacy for our CDC colleagues.
Now at the next stage of my career, I would love to continue doing the work I love the most - implementing and teaching the foundations of statistics, AI, and programming to those who are ready and willing to learn.
