chsharrison/Sci_comp_F24
Oct 2024 – Dec 2024
3 Months active
Languages Used
Jupyter NotebookMarkdownPythonJSONIPython Notebook
Technical Skills
Data AnalysisFizzBuzz ProblemJupyter NotebookJupyter NotebooksNumPyPandas
kolinbilbrew
PROFILE
Kolinbilbrew
Kolin Bilbrew developed and maintained educational data science resources in the chsharrison/Sci_comp_F24 repository, focusing on asset lifecycle management and hands-on lab materials. Over three months, Kolin delivered Jupyter Notebook-based labs covering data analysis, machine learning, time series, and mathematical modeling, while implementing structured asset grouping and cleanup to streamline onboarding and reproducibility. Using Python, Pandas, and NumPy, Kolin created tools for data visualization and simulation, such as sediment load analysis and predator-prey models. The work emphasized version control discipline, repository hygiene, and practical workflows, resulting in a well-organized, maintainable resource library supporting both instruction and research.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
38Total
Bugs
0
Commits
38
Features
11
Lines of code
43,562
Activity Months3
Your Network
37 people
Work History
December 2024
11 Commits • 3 Features
Dec 1, 2024December 2024 deliverables for chsharrison/Sci_comp_F24 focused on lifecycle-driven enhancements to asset management and data analysis workflows. Implemented a Kolin Bilbrew Final Project Documentation Lifecycle to group and manage final proposal, report, and presentation assets with structured filename changes and cleanup actions. Established a Data Analysis Notebooks Lifecycle to group loading, visualization, and modeling notebooks, including removals of obsolete artifacts to improve reproducibility. Delivered Sediment Load Visualization Tools with Python scripts to enable quick, graph-based insights and correlation analysis. Performed repository hygiene improvements through standard naming conventions and targeted deletions to reduce confusion and streamline onboarding. Collectively these changes shorten cycle times for final deliverables, improve data science workflow reliability, and support faster decision-making for stakeholders.
11 Commits • 3 Features
Dec 1, 2024December 2024 deliverables for chsharrison/Sci_comp_F24 focused on lifecycle-driven enhancements to asset management and data analysis workflows. Implemented a Kolin Bilbrew Final Project Documentation Lifecycle to group and manage final proposal, report, and presentation assets with structured filename changes and cleanup actions. Established a Data Analysis Notebooks Lifecycle to group loading, visualization, and modeling notebooks, including removals of obsolete artifacts to improve reproducibility. Delivered Sediment Load Visualization Tools with Python scripts to enable quick, graph-based insights and correlation analysis. Performed repository hygiene improvements through standard naming conventions and targeted deletions to reduce confusion and streamline onboarding. Collectively these changes shorten cycle times for final deliverables, improve data science workflow reliability, and support faster decision-making for stakeholders.
December 2024
November 2024
17 Commits • 7 Features
Nov 1, 2024November 2024 — Repository: chsharrison/Sci_comp_F24. Delivered a focused set of labs spanning data analysis, file transfer fundamentals, and introductory machine learning, while maintaining current course content through cleanup of superseded materials. Business value: enhanced student engagement and readiness for real-world data tasks; Technical: implemented end-to-end notebooks with Pandas/NumPy, time-series analyses, population dynamics models, and scikit-learn integration.
November 2024
17 Commits • 7 Features
Nov 1, 2024November 2024 — Repository: chsharrison/Sci_comp_F24. Delivered a focused set of labs spanning data analysis, file transfer fundamentals, and introductory machine learning, while maintaining current course content through cleanup of superseded materials. Business value: enhanced student engagement and readiness for real-world data tasks; Technical: implemented end-to-end notebooks with Pandas/NumPy, time-series analyses, population dynamics models, and scikit-learn integration.
October 2024
10 Commits • 1 Features
Oct 1, 2024In Oct 2024, the Sci_comp_F24 repository delivered a comprehensive educational resources lifecycle for Kolin Bilbrew, expanding the resource library and governance to support labs, proposals, and professional materials. Key updates included notebooks for labs, a final proposal PDF, a curriculum vitae PDF, and Zotero assets, with careful lifecycle management to add, replace, or remove assets. This work improves resource discoverability, reuse, and governance across the educational workflow.
10 Commits • 1 Features
Oct 1, 2024In Oct 2024, the Sci_comp_F24 repository delivered a comprehensive educational resources lifecycle for Kolin Bilbrew, expanding the resource library and governance to support labs, proposals, and professional materials. Key updates included notebooks for labs, a final proposal PDF, a curriculum vitae PDF, and Zotero assets, with careful lifecycle management to add, replace, or remove assets. This work improves resource discoverability, reuse, and governance across the educational workflow.
October 2024
Activity
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Quality Metrics
Correctness86.8%
Maintainability87.4%
Architecture84.8%
Performance83.6%
AI Usage21.0%
Skills & Technologies
Programming Languages
IPython NotebookJSONJupyter NotebookMarkdownPython
Technical Skills
Command Line UtilitiesData AnalysisData CleaningData ExplorationData LoadingData ManipulationData ScienceData VisualizationDifferential EquationsFizzBuzz ProblemHPC File TransferJupyter NotebookJupyter NotebooksLinear RegressionMachine Learning
Repositories Contributed To
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