About

I live at the intersection of insights and action. Machine learning without business context is like a car without gas, optimized but going nowhere. That's why I focus on business-first technologies, optimizing ROI alongside my objective functions.

My experience has taken me through every layer of the analytics stack: data ingestion, engineering, business intelligence, and ML development and deployment. I've built industrial ETL/ELT pipelines and enterprise data warehouse solutions; developed full-stack data applications and dashboard suites; and trained and deployed machine learning models across multiple industries.

I'm proud of the work I do and passionate about sharing it through open-source projects on GitHub, company upskilling courses, or mentoring colleagues. If you're looking for someone who can communicate the "why" behind the math, I'm your person.

I'm a Data Scientist, and I love it.