Ned Western is a data scientist and solar engineer with nearly a decade of experience bridging R&D-grade photovoltaics and production-scale energy analytics. He holds a PhD in silicon photovoltaics and has driven cell technology development, high-volume process implementation, and automated performance modeling across research and industry roles at UNSW, SunPower, First Solar and Gelion. At AEMO he applies that domain expertise to grid-scale data science, drawing on strong Python skills, SQL schema design, cloud pipelines and ML forecasting. An active open-source contributor to Polars’ Python docs, Ned improves developer ergonomics for high-performance dataframe tooling—reflecting his knack for turning complex scientific workflows into usable, production-ready systems.
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Role in this project:
Technical Writer
Contributions:1 review, 10 PRs, 12 comments in 9 months
Contributions summary:Ned's contributions primarily involve adding and improving documentation for the Python bindings of the Polars dataframes library. This includes creating docstring examples for various functionalities, such as datetime ranges, reading JSON data, and error handling. Furthermore, the user fixed existing documentation examples for configuration settings and extended examples for asof joins, enhancing the usability and clarity of the Polars documentation.
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Contributions:12 PRs, 40 pushes, 13 branches in 3 months
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