Shivank Poudel

I work on practical machine learning and data engineering: clean datasets, reliable pipelines, model experiments, and applications that turn data into usable decisions.

Currently focused on recommendation systems, model evaluation, ETL workflows, SQL, and production-minded data projects. I care about clear problem framing, readable notebooks and code, and work that a technical reviewer can understand quickly.