ImperialCollegeLondon/proCAT
May 2025 – Oct 2025
6 Months active
Languages Used
DjangoDockerfileHTMLMarkdownPythonSQLShellTOML
Technical Skills
Back End DevelopmentBackend DevelopmentCI/CDCI/CD ConfigurationCode FormattingConfiguration
Steph Wills
PROFILE
Steph Wills
Stephanie Wills developed and maintained the proCAT repository for Imperial College London, delivering a robust Django-based platform for project tracking, financial reporting, and capacity planning. Over six months, she engineered features such as time-series analytics, cost recovery dashboards, and automated CSV reporting, integrating Python, Django ORM, and Bokeh for data visualization. Her work emphasized data integrity, test-driven development, and maintainable code, with improvements to scheduling logic, timezone handling, and UI consistency. By refactoring models, enhancing CI/CD pipelines, and expanding test coverage, Stephanie ensured the system supported accurate forecasting, reliable reporting, and streamlined workflows for both technical and non-technical users.
Overall Statistics
Feature vs Bugs
66%Features
Repository Contributions
211Total
Bugs
41
Commits
211
Features
78
Lines of code
9,962
Activity Months6
Your Network
59 people
Work History
October 2025
14 Commits • 2 Features
Oct 1, 2025October 2025 focused on strengthening data correctness, visual analytics, and UI reliability in ImperialCollegeLondon/proCAT. Delivered timezone-aware data handling and static typing fixes, advanced time-series visuals with varea shading and precise hover behavior, and UX/UI improvements to capacity planning and cost recovery with clearer copy and default form values. Also stabilized the product by fixing funding validation on create and removing the Funding link from the navbar, while adding a user-facing improvement to show the current date by default in the charges report form.
14 Commits • 2 Features
Oct 1, 2025October 2025 focused on strengthening data correctness, visual analytics, and UI reliability in ImperialCollegeLondon/proCAT. Delivered timezone-aware data handling and static typing fixes, advanced time-series visuals with varea shading and precise hover behavior, and UX/UI improvements to capacity planning and cost recovery with clearer copy and default form values. Also stabilized the product by fixing funding validation on create and removing the Funding link from the navbar, while adding a user-facing improvement to show the current date by default in the charges report form.
October 2025
September 2025
33 Commits • 15 Features
Sep 1, 2025September 2025 performance summary for ImperialCollegeLondon/proCAT focusing on delivering measurable business value through time-tracking accuracy, funding transparency, admin lifecycle improvements, and automation reliability. The month emphasized precise data, robust tests, and scalable changes to support forecasting, budgeting, and stakeholder reporting.
September 2025
33 Commits • 15 Features
Sep 1, 2025September 2025 performance summary for ImperialCollegeLondon/proCAT focusing on delivering measurable business value through time-tracking accuracy, funding transparency, admin lifecycle improvements, and automation reliability. The month emphasized precise data, robust tests, and scalable changes to support forecasting, budgeting, and stakeholder reporting.
August 2025
26 Commits • 12 Features
Aug 1, 2025August 2025: ImperialCollegeLondon/proCAT delivered targeted features and critical fixes to improve scheduling reliability, capacity planning visibility, and data governance. The work enhances business value by strengthening UI tooling, ensuring correct date logic, and hardening test coverage while maintaining code clarity. Key features delivered: capacity planning plot widgets initialization; cost recovery plot date pickers; plot title updates to reflect broader date ranges; refactor to move plot-related code out of views; consistency improvements renaming admin to head and updating comments; quick year-date tests and broader test coverage; documentation/comments updates and integration of review changes; bar plot widget tests and financial year date improvements. Major bugs fixed: fix failing test and days_left calculation; remove adding permissions for HoRSE group; guard against empty head_email list; fix button interactions; change financial year display in August; fix failing tests after merge; comment/docs years count correction; cost recovery test updates. Overall impact: Increased scheduling reliability, clearer capacity planning visuals, and stronger release confidence. Improved maintainability through refactoring and naming consistency, with broader test coverage reducing risk in production. Technologies/skills demonstrated: Python, unit testing, test-driven development, code refactoring, documentation and comments, data visualization plotting, and basic CI hygiene.
26 Commits • 12 Features
Aug 1, 2025August 2025: ImperialCollegeLondon/proCAT delivered targeted features and critical fixes to improve scheduling reliability, capacity planning visibility, and data governance. The work enhances business value by strengthening UI tooling, ensuring correct date logic, and hardening test coverage while maintaining code clarity. Key features delivered: capacity planning plot widgets initialization; cost recovery plot date pickers; plot title updates to reflect broader date ranges; refactor to move plot-related code out of views; consistency improvements renaming admin to head and updating comments; quick year-date tests and broader test coverage; documentation/comments updates and integration of review changes; bar plot widget tests and financial year date improvements. Major bugs fixed: fix failing test and days_left calculation; remove adding permissions for HoRSE group; guard against empty head_email list; fix button interactions; change financial year display in August; fix failing tests after merge; comment/docs years count correction; cost recovery test updates. Overall impact: Increased scheduling reliability, clearer capacity planning visuals, and stronger release confidence. Improved maintainability through refactoring and naming consistency, with broader test coverage reducing risk in production. Technologies/skills demonstrated: Python, unit testing, test-driven development, code refactoring, documentation and comments, data visualization plotting, and basic CI hygiene.
August 2025
July 2025
47 Commits • 16 Features
Jul 1, 2025July 2025 performance summary for Imperial College London/proCAT. Focused on delivering robust reporting, enhancing cost-recovery analytics, and strengthening test coverage and data integrity. Key work spanned backend reporting, UI navigation, analytics plotting, and quality assurance, with multiple commits driving the changes across reporting, charts, and tests.
July 2025
47 Commits • 16 Features
Jul 1, 2025July 2025 performance summary for Imperial College London/proCAT. Focused on delivering robust reporting, enhancing cost-recovery analytics, and strengthening test coverage and data integrity. Key work spanned backend reporting, UI navigation, analytics plotting, and quality assurance, with multiple commits driving the changes across reporting, charts, and tests.
June 2025
54 Commits • 22 Features
Jun 1, 2025June 2025 performance highlights for ImperialCollegeLondon/proCAT include delivery of core data-model and UI enhancements, expanded time-series analytics, and capacity planning features, all while strengthening testing, typing, and CI stability. This combination improves budgeting accuracy, forecasting, and reporting, enabling better decision-making and resource planning across projects. Key outcomes:
54 Commits • 22 Features
Jun 1, 2025June 2025 performance highlights for ImperialCollegeLondon/proCAT include delivery of core data-model and UI enhancements, expanded time-series analytics, and capacity planning features, all while strengthening testing, typing, and CI stability. This combination improves budgeting accuracy, forecasting, and reporting, enabling better decision-making and resource planning across projects. Key outcomes:
June 2025
May 2025
37 Commits • 11 Features
May 1, 2025May 2025 Action Review for ImperialCollegeLondon/proCAT: Shipped foundational Django project infrastructure, typing enhancements, Docker readiness, and testing scaffolding, establishing a robust foundation for deployment, quality, and iterative feature delivery. The month focused on aligning development tooling with production needs, improving test coverage, and enabling data modeling expansion with UI and integration polish.
May 2025
37 Commits • 11 Features
May 1, 2025May 2025 Action Review for ImperialCollegeLondon/proCAT: Shipped foundational Django project infrastructure, typing enhancements, Docker readiness, and testing scaffolding, establishing a robust foundation for deployment, quality, and iterative feature delivery. The month focused on aligning development tooling with production needs, improving test coverage, and enabling data modeling expansion with UI and integration polish.
Activity
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Quality Metrics
Correctness89.8%
Maintainability90.8%
Architecture84.0%
Performance83.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
DjangoDockerfileHTMLJavaScriptMarkdownPythonSQLShellTOMLText
Technical Skills
API DevelopmentBack End DevelopmentBackend DevelopmentBokehCI/CDCI/CD ConfigurationCSV GenerationCode DocumentationCode FormattingCode QualityCode RefactoringConfigurationConfiguration ManagementContainerizationCron
Repositories Contributed To
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