I started off on the data lake analytics team, where I developed machine learning and statistical models to analyze data ingestion patterns and optimize producer/consumer behavior.

Then I moved to alerts and monitoring, where I built automated alerting systems and dashboards to proactively surface data pipeline issues.

Most recently, I joined the data platform's AI team, where I build AI agents to enhance data platform capabilities, such as accelerating data discovery and onboarding or strengthening data quality and governance workflows.

I built automated web scraping pipelines to collect data on artists and record labels to support risk pricing, artist development, and investment decisions in the music industry.

I worked on the trading platform team, where I built a client application to place orders, execute trades, and stream real-time market data. The tool was used for testing across legacy and modern trading systems, giving me hands-on experience with real-world financial systems.

I analyzed the Common Data Sets (CDS) for hundreds of colleges and universities to identify key admissions factors, and compiled data used to support college essays and resumes created by users on the platform.