TUDelft-MUDE/book
Nov 2024 – Oct 2025
6 Months active
Languages Used
Jupyter NotebookMarkdownPythonYAMLCSSHTMLJavaScript
Technical Skills
Autoregressive ModelsConfiguration ManagementContent ManagementData AnalysisData VisualizationDocumentation
Berend Bouvy
PROFILE
Berend Bouvy
Boudewijn Bouvy contributed to the TUDelft-MUDE/book repository by developing interactive data visualizations and refining educational content for time series analysis. He implemented features such as an interactive hypothesis testing page using D3.js and enhanced Jupyter notebook infrastructure for improved rendering and maintainability. His work involved correcting statistical model documentation, stabilizing plotting and UI layouts, and integrating localization and feedback mechanisms. Using Python, JavaScript, and HTML, Boudewijn addressed both feature development and bug fixes, focusing on clarity, reliability, and user experience. The depth of his contributions is reflected in robust analytics tools and well-documented, maintainable educational resources.
Overall Statistics
Feature vs Bugs
46%Features
Repository Contributions
42Total
Bugs
13
Commits
42
Features
11
Lines of code
8,432
Activity Months6
Your Network
53 people
Work History
October 2025
21 Commits • 7 Features
Oct 1, 2025October 2025 monthly summary for TUDelft-MUDE/book: Delivered plotting and UI enhancements, stabilized layout, and advanced notebook rendering with localization; improved feedback and HTML/widget support; resolved core stability issues. Resulting in more reliable out-of-the-box plotting, visually consistent interfaces across pages, and improved cross-widget functionality with broader localization support.
21 Commits • 7 Features
Oct 1, 2025October 2025 monthly summary for TUDelft-MUDE/book: Delivered plotting and UI enhancements, stabilized layout, and advanced notebook rendering with localization; improved feedback and HTML/widget support; resolved core stability issues. Resulting in more reliable out-of-the-box plotting, visually consistent interfaces across pages, and improved cross-widget functionality with broader localization support.
October 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Delivered a new Interactive Hypothesis Testing Visualization Page (testing.html) in the TUDelft-MUDE/book repository. The page provides sliders for mean (μa), standard deviation (σa), and significance level (α) with real-time updates of probability density functions under the null and alternative hypotheses, including shaded regions for Type I error, Type II error, and statistical power to aid interpretation and decision making. Key commit: 816037ae2aea4bd54b15c9cb92a4dfd7becbf4da ("uploaded new testing html plot"). No major bugs reported in this month. Overall impact: enhances data-driven decision making and education around hypothesis testing by providing an intuitive, interactive visualization. Demonstrates strong frontend visualization skills and solid version-control discipline.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Delivered a new Interactive Hypothesis Testing Visualization Page (testing.html) in the TUDelft-MUDE/book repository. The page provides sliders for mean (μa), standard deviation (σa), and significance level (α) with real-time updates of probability density functions under the null and alternative hypotheses, including shaded regions for Type I error, Type II error, and statistical power to aid interpretation and decision making. Key commit: 816037ae2aea4bd54b15c9cb92a4dfd7becbf4da ("uploaded new testing html plot"). No major bugs reported in this month. Overall impact: enhances data-driven decision making and education around hypothesis testing by providing an intuitive, interactive visualization. Demonstrates strong frontend visualization skills and solid version-control discipline.
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary for TUDelft-MUDE/book focusing on data visualization accuracy and plot usability for AR(1) simulations. No new features released this month; the primary work centered on stabilizing and clarifying AR(1) visualization to ensure accurate interpretation of results. The targeted bug fix enhances user trust in analytics by improving plot annotations and axis semantics.
1 Commits
Feb 1, 2025February 2025 monthly summary for TUDelft-MUDE/book focusing on data visualization accuracy and plot usability for AR(1) simulations. No new features released this month; the primary work centered on stabilizing and clarifying AR(1) visualization to ensure accurate interpretation of results. The targeted bug fix enhances user trust in analytics by improving plot annotations and axis semantics.
February 2025
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary for TUDelft-MUDE/book: targeted maintenance and documentation accuracy. Delivered a precise bug fix to the autocorrelation formula documentation (acf.md), improving reliability for downstream analytics implementation.
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary for TUDelft-MUDE/book: targeted maintenance and documentation accuracy. Delivered a precise bug fix to the autocorrelation formula documentation (acf.md), improving reliability for downstream analytics implementation.
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly performance for TUDelft-MUDE/book: delivered notebook readability and interactivity improvements, corrected AR exercise notebook inaccuracies, and implemented a more robust model-selection approach. The changes enhance reliability of analyses, user experience in interactive environments, and maintainability of the repository.
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly performance for TUDelft-MUDE/book: delivered notebook readability and interactivity improvements, corrected AR exercise notebook inaccuracies, and implemented a more robust model-selection approach. The changes enhance reliability of analyses, user experience in interactive environments, and maintainability of the repository.
December 2024
November 2024
14 Commits • 2 Features
Nov 1, 2024November 2024 highlights for the TUDelft-MUDE/book project focused on delivering enhanced Time Series Education content and stabilizing the repository’s notebook infrastructure. The work emphasizes business value through improved learning experience, content accuracy, and build reliability.
November 2024
14 Commits • 2 Features
Nov 1, 2024November 2024 highlights for the TUDelft-MUDE/book project focused on delivering enhanced Time Series Education content and stabilizing the repository’s notebook infrastructure. The work emphasizes business value through improved learning experience, content accuracy, and build reliability.
Activity
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Quality Metrics
Correctness88.6%
Maintainability89.0%
Architecture83.8%
Performance84.8%
AI Usage21.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptJupyter NotebookMarkdownPythonYAML
Technical Skills
Autoregressive ModelsCode RefactoringConfiguration ManagementContent ManagementD3.jsData AnalysisData CleaningData ScienceData VisualizationDocumentationFile ManagementFront-end DevelopmentGNSSJupyter NotebookJupyter Notebooks
Repositories Contributed To
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