Dean Kuhn
I build data pipelines that end in something you can actually use. Not another Power BI report, but a live, interactive product. I'm already solving real problems on my own. Looking for the right team to contribute as a data analyst / analytics engineer / data engineer.
Drug safety signal platform over FDA adverse event data (FAERS/openFDA). Cleaning and deduplicating two decades of shifting schemas, landing on Parquet + DuckDB, with a RAG layer over drug labels planned on top.
Bronze→Silver→Gold Delta Lake pipeline that correlated Reddit sentiment against Yahoo Finance price and volume data to flag S&P 500 divergence signals, surfaced in a Streamlit dashboard. Broken since Reddit shut down the public .json endpoints its ingestion relied on — kept here as a relic, not an active project.
CS graduate (WGU, May 2026) based in the Milwaukee area. I enjoy solving problems that involve cleaning and transforming difficult data, and displaying those insights in the form of live, queryable sites, beyond what any warehouse table or Power BI report could display.
Each project runs the full stack: ingestion, transformation, warehousing, and (where it earns its cost) ML forecasting, so when something breaks I already know where to look.