I build data products that drive revenue and scale. I'm the founder of Sync Wave Analytics, a consulting practice focused on music analytics, sports data, and urban planning—helping clients turn complex datasets into actionable insights.
On the music side, I've built analytics infrastructure processing 500K+ daily streaming events across Spotify, Deezer, and Luminate for catalog valuations and royalty forecasting. In sports, I create fantasy analytics platforms and predictive models. And in city planning, I apply the same data engineering rigor to urban challenges.
Before starting my own thing, I spent five years at Spotify building churn prediction models serving 500M users, data science for Wrapped campaigns, and ML features like Family Mix. Earlier, I detected fraud patterns in 10M+ daily transactions at JPMorgan Chase (and earned a utility patent for privacy-preserving analytics), and built fantasy sports models at ESPN that powered content for 2M+ weekly users.
I studied Mathematics and Statistics at Rutgers. What drives me is turning messy, complex data into something that helps people make better decisions.
- Lyric Nexus - B2B music analytics platform for catalog valuations and royalty forecasting
- Spicy Sports - Fantasy sports analytics with Yahoo Fantasy integration and NHL Edge analytics
- City planning data projects - Applying data engineering to urban challenges
Data warehousing (Snowflake, BigQuery, dbt), ML at scale, music streaming analytics, fantasy sports modeling, urban data, or privacy-preserving data methods.
Guitar Hero Legend.