About Me

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I live at the intersection of Insights and Action. Machine learning without business context is like car without gas; it won’t get you anywhere, no matter how “optimized” it is. That’s why I focus on business-first technologies, optimizing ROI along with my objective functions.

My unique experience has taken me through every part of the analytics pipeline, from data ingestion, through data engineering and business intelligence, to machine learning development and deployment. I’ve created industrial ETL/ELT pipelines and EDW solutions; I’ve developed full-stack data applications and dashboard suites to democratize data; and I’ve developed and deployed machine learning models across multiple industries.

I consider myself lucky to work in such a fascinating field. I’m proud of and passionate about what I do, and I love sharing my passion with others, whether it’s by posting projects on GitHub, hosting company upskilling and training courses, or mentoring colleagues.

I’m a Data Scientist, and I love it.