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I’m an independent Python data scientist and data engineering developer building open-source tools for reproducible analytics, ML/NLP workflows, data pipelines, notebook cleanup, and validation systems.
My projects are designed around practical problems I care about: making data workflows easier to rerun, review, validate, document, and share safely. Sponsorship helps support continued development of documentation, tutorials, examples, and reusable templates for analysts, researchers, students, and small teams.