Data Engineer → Aspiring Data Scientist
Hi, I’m Nathan — I turn messy operational data into clean insights and automated workflows. I work in Python & SQL, build dashboards in Power BI, and ship geospatial analytics with ArcGIS. Currently at the State of Utah’s Division of Oil, Gas, & Mining.
About
I’m a data-minded builder with a public-sector lens. By day, I support the State of Utah’s Division of Oil, Gas, & Mining— cleaning messy operational datasets, automating repetitive work with Python, and turning questions into clear dashboards. By night, I sharpen my software skills through hands-on projects: mapping well data, packaging desktop utilities, and prototyping services that move data reliably from A to B.
What I’m good at
- Python for data work (pandas, NumPy), simple APIs, and automation scripts
- SQL for querying and shaping data; basic modeling for BI
- Power BI for practical dashboards stakeholders actually use
- Geospatial: ArcGIS basics and map-driven storytelling
Recent highlights
- Built a Python app to track Pokémon card collection data (learning-focused project)
- Prototyped a well-mapping workflow pulling records from Salesforce to a web map
- Packaged a Mac desktop “Debt Tracker” with a Tkinter GUI
- Coursework at WGU toward B.S. in Data Analytics
My next step is deeper end-to-end data engineering: robust API ingestion, light ETL, and shipping small tools that improve how teams use data day to day.
Let’s work together
Have a role or collaboration in mind? I love automating tedious workflows and building clear visuals from real-world data.