Building data pipelines that end in a live, interactive product that's easy to use.
projects
Drug safety signal detection over FDA adverse event data.
61.3M adverse events · 91 quarters · 5 age cohorts
Spotify listener growth tracking across 600+ artists.
ML demand forecasting pipeline for grocery inventory optimization.
Genetic algorithm vehicle routing with time windows and constraints.
about
CS graduate based in the Milwaukee area. I enjoy solving problems that involve cleaning and transforming messy data, and displaying those insight in the form of live, queryable sites.
Each of my projects run the full stack: ingestion, transformation, warehousing, and, at times, machine learning, rag, and some cloud architecture.
♜ stack ♖
languages
data & storage
ml
frontend
infra