Matthew Richards
Senior Consultant (Data Science)
Sydney, New South Wales, Australia
Summary
🤩
Rockstar🎓
Top SchoolMatthew Richards is a Senior Consultant in Data Science based in Sydney who blends applied mathematics, transport modelling and software engineering to deliver robust, maintainable activity-based models and analytics. With seven years’ experience at Veitch Lister Consulting and a University Medal in Applied Mathematics, he tackles transport mode-choice and estimation problems using rigorous modelling and practical software architecture. A core developer and maintainer on the widely used GeoPandas project, he focuses on preserving geometric integrity and CRS correctness in geospatial data pipelines—work that bridges research-grade models and production tooling. He is passionate about open source, reproducible analysis and making complex transport models more interpretable and operational.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Mathematics (Honours), Applied Mathematics, Honours Class I (and Univeristy Medal), Bachelor of Mathematics (Honours), Applied Mathematics, Honours Class I (and Univeristy Medal) at The University of Queensland
Github Skills (9)
pandas10
geopandas10
geospatial10
python10
shapely10
data-structure9
spatial-data-analysis9
data-structures9
testing8
Programming languages (5)
Github contributions (5)
geopandas/geopandas
Jun 2021 - Jan 2023
Python tools for geographic data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:544 reviews, 39 commits, 229 PRs in 1 year 7 months
Contributions summary:Matthew primarily contributed to bug fixes and improvements within the GeoPandas library. Their commits addressed issues related to CRS (Coordinate Reference Systems) handling, including losses during dataframe operations and inconsistencies. They implemented solutions for merging, concatenating, and applying transformations to GeoDataFrames while maintaining the integrity of geometry column names and ensuring consistent error handling. Their work focused on core data structure functionalities and API improvements, with a focus on ensuring correct data handling and preventing regressions.
pythongeoparquetgeospatialpandasspatial
m-richards/pandas
Oct 2021 - Mar 2026
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:35 pushes, 6 branches in 4 years 5 months
data-analysisdata-structuredata-structurespython
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