David Cowan is a detail-oriented customer service professional with over 15 years of experience delivering high-touch support across email, phone, chat, and social media in technical, medical, and scientific domains. He combines B2B service expertise with strong technical literacy—having contributed documentation and quality improvements to prominent open-source projects like Matplotlib and Netflix Metaflow—to make complex information accessible and accurate. Known for driving cross-functional alignment, he has a consistent 90+% career CSAT and a track record of improving graduation and retention KPIs through data-driven interventions. David has hands-on experience auditing regulated processes and writing ALCOA+-compliant reports, plus practical troubleshooting skills from enterprise technical support roles. He excels at turning messy, time-sensitive issues into documented, repeatable workflows that reduce escalations and speed resolution. Based in California, he brings a collaborative, process-first approach that blends customer empathy with technical rigor.
11 years of coding experience
4 years of employment as a software developer
Theatre/Theater, Theatre/Theater at St. Mary's College of Maryland
Contributions:9 reviews, 6 commits, 16 PRs in 7 months
Contributions summary:David primarily focused on code maintenance and improvement within the Metaflow project. They fixed typos and inconsistencies in documentation and code, including the correction of the word "producted" to "produced". Further contributions involved refactoring code related to custom parameter ordering in the CLI, as well as adjusting the orientation of graph visualizations. These actions suggest a focus on code quality, maintainability, and user experience.
Contributions summary:David primarily contributed to documentation improvements within the matplotlib repository. Their commits focused on correcting typos in docstrings for various functions and methods, including those related to paths, legends, and axes. The impact of these changes is improved code readability and accuracy within the documentation. These changes refine the documentation to aid in user comprehension and contribute to the overall quality of the project.
pythondata-sciencegtkdata-visualizationplotting
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