Chuck Powell is an experienced data scientist and leader with nine years in data-focused roles and a decades-long track record managing large academic and institutional IT programs. He blends deep statistical and machine learning expertise (R, SPSS, SAS, Python, Perl) with hands-on database and big-data experience across SQL and NoSQL systems, having led analytics initiatives that processed millions of student records to improve outcomes. His background spans applied research, teaching graduate courses in big data, and accreditation-focused assessment work—skills that let him translate complex research questions into practical data collection and reporting strategies for executives and frontline stakeholders. At institutions from Yale to Stony Brook and Trinity College he built scalable analytics services, high-performance compute environments, and assessment frameworks that supported decision making at scale. An attentive open-source contributor, he has improved reproducible R package documentation and build stability for the popular ggstatsplot ecosystem, showing a practical focus on tooling and reproducibility. He pairs military-trained discipline and engineering rigor from West Point with advanced training in psychology/statistics, enabling cross-disciplinary collaboration and ethical, methodical data practices.
9 years of coding experience
16 years of employment as a software developer
Bachelor’s Degree, Engineering, Bachelor’s Degree, Engineering at United States Military Academy at West Point
Master's degree, Psychology/Statistics, Master's degree, Psychology/Statistics at University of Washington
Enhancing {ggplot2} plots with statistical analysis 📊📣
Role in this project:
Data Scientist
Contributions:220 commits, 66 PRs, 3 pushes in 9 months
Contributions summary:Chuck primarily contributed to the removal of blank comment lines and unneeded comments within several R scripts, aimed at resolving warnings during vignette building. They made changes in `combine_plots.R`, `data.R`, `theme_ggstatsplot.R`, `ggcoefstats.R`, `ggcorrmat.R`, `grouped_ggcorrmat.R`, `gghistostats.R`, and `grouped_ggbetweenstats.R`, indicating their involvement in cleaning up code and addressing potential issues related to documentation generation. The changes suggest a focus on improving the package's build process and documentation.
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