I’m a blockchain data analyst with an engineering mindset, working across research, data analysis, and data pipelines. My work has included building simulations and analytical models to study blockchain behavior, performing exploratory analysis and error clustering, and collecting, transforming, and validating on-chain and API data using Python and SQL.
I’ve built ETL workflows to turn raw blockchain data into structured datasets for analysis and reporting, and I enjoy understanding systems end-to-end — from data ingestion to insights. I’m particularly interested in roles that combine analytics, modeling, and data engineering within blockchain or data-driven teams.