dpploy/engy-4390
Nov 2024 – Dec 2024
2 Months active
Languages Used
JSONPythonJupyter NotebookMarkdown
Technical Skills
Cortix FrameworkJupyter NotebooksPython ScriptingSystem SimulationChemical EngineeringChemical Engineering Documentation
coleconn9
PROFILE
Coleconn9
Cole Connerty developed and documented advanced simulation notebooks for the dpploy/engy-4390 repository, focusing on uranium milling processes such as precipitation, evaporation, drying, and calcination. Leveraging Python, Jupyter Notebooks, and the Cortix framework, Cole configured modular system simulations and parameterized workflows to support flexible scenario analysis and reproducibility. He enhanced technical documentation with improved structure, detailed equipment visuals, and clarified chemical reaction mechanisms, addressing both process understanding and auditability. Cole’s work included a critical bug fix and comprehensive updates, demonstrating depth in scientific computing, technical writing, and chemical engineering, and resulting in more reliable, traceable, and maintainable simulation tools.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
4
Lines of code
1,294
Activity Months2
Your Network
10 peopleSame Organization
@student.uml.edu3
Shared Repositories
7
Work History
December 2024
13 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for dpploy/engy-4390 focusing on modeling tooling and documentation for the drying and calcination of ammonium diuranate, plus targeted documentation enhancements and a critical bug fix. Delivered on-track improvements to process understanding, reproducibility, and knowledge transfer while strengthening the reliability of the simulation workflow.
13 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for dpploy/engy-4390 focusing on modeling tooling and documentation for the drying and calcination of ammonium diuranate, plus targeted documentation enhancements and a critical bug fix. Delivered on-track improvements to process understanding, reproducibility, and knowledge transfer while strengthening the reliability of the simulation workflow.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — Delivered a reproducible, Cortix-integrated White Mesa plant simulation notebook enabling end-to-end setup and execution. No major bugs reported this month. This work accelerates experimentation, supports scenario analysis, and improves data traceability for decision-making.
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — Delivered a reproducible, Cortix-integrated White Mesa plant simulation notebook enabling end-to-end setup and execution. No major bugs reported this month. This work accelerates experimentation, supports scenario analysis, and improves data traceability for decision-making.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture88.6%
Performance83.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Chemical EngineeringChemical Engineering DocumentationCortix FrameworkData AnalysisDocumentationJupyter NotebooksNotebook ManagementPython ScriptingReport GenerationScientific ComputingScientific ReportingSimulationSystem SimulationTechnical Writing
Repositories Contributed To
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