Using data to shine a light on Appalachia
Mining:
the digital way.
About me
I am a data-driven decision maker with a proven track record of creating process improvements which lead to positive changes for customers and improved business metrics.
Data Science
Skilled with Python and R for creating predictive models and data visualizations.
Data Analysis
Expert in using Excel and SQL to query data and extract business insights
Project Management
Experienced people manager trained in Lean Six Sigma techniques with background in leading successful projects
I use data to tell Appalachia’s story
I am a native West Virginian with deep roots in the region, and I have always loved the Appalachian Mountains: the culture, the geography, the history, the music, and even the quirks of the dialect.
Historically, natural resource extraction – notably coal mining – drove the economy of central Appalachia. With the move into the 21st century, another kind of mining is becoming prominent–data mining. I plan to use my ability to extract insights from data to promote economic growth and human flourishing in Appalachia and beyond!
Check out my blog where I write about my personal data projects, insights I have gained from my studies, and Appalachian culture and history.
Quick Hits: Exclude Current Week in SQL
Welcome to the first of my “Quick Hits” entries on the blog! I am still trying to find the proper shape for my blog formats, and I hope this one will persist going forward. Quick Hits entries will be more focused on a problem I found interesting and a solution to that...
How to find data for data science or GIS projects
Intro When starting a personal data science project, often the most difficult part is figuring out where to obtain the data you will use. Whether you are just looking for some test data to use when learning a new technique or are looking to investigate the answer to a...
The Birthday Problem with Real-world data (Birthday Problem Pt. 2)
As promised in the previous post, I have found some real-world datasets to test out our Birthday Problem predictions on! The more advanced visualizations will have to wait until another weekend when I have some time. For this post, I will be looking at four datasets...