Background in politics, commodity trading, and converted to being a data engineer in 2017. I worked with Django, Flask, Plotly, and Vue.JS, but now Airflow and PySpark for ETL pipelines.
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I've been learning a lot more about GIS, so PostGIS, QGIS, etc.
Python, SQL, JS
Cleaning data, web scraping, and automation
Machine Learning when I have time.
Currently hacking on
I'm working on a DataKind project with United Way Worldwide, a local analysis on evictions, and maintain my uranium focused dashboard at uraniumtech.app.
Data projects, databases (Postgres, Neo4j, other NoSQL), web scraping, data for good.
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