Data Analyst → Aspiring Data Scientist
I turn messy operational data into clean insights and automated workflows. Python, SQL, Power BI, and ArcGIS. Currently at the State of Utah's Division of Oil, Gas, & Mining, where my automations have saved over 817 hours of work.
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), APIs, and automation
- SQL for querying and shaping data; modeling for BI
- Power BI for dashboards stakeholders actually use
- ArcGIS for geospatial analysis and map-driven storytelling
Recent highlights
- Automated processes at DOGM saving 817+ hours of work to date
- Built a Python app to track Pokémon card collection data
- Prototyped a well-mapping workflow from Salesforce to a web map
- Earned B.S. in Data Analytics from Western Governors University
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.