dpploy/engy-4390
Oct 2024 – Dec 2024
3 Months active
Languages Used
JSONJupyter NotebookPythonHTMLMarkdown
Technical Skills
Data AnalysisJupyter NotebooksPython DevelopmentPython ScriptingScientific ComputingSimulation
alyssa-puglisi
PROFILE
Alyssa-puglisi
Alyssa Puglisi developed and refined simulation and data analysis workflows for the dpploy/engy-4390 repository, focusing on solvent extraction and uranium mill network dynamics. She delivered new Jupyter notebooks and Python modules that integrated leaching, decantation-filtration, and extraction processes, improving reproducibility and data visualization for chemical engineering scenarios. Alyssa addressed technical debt through code cleanup, module renaming, and documentation enhancements, ensuring consistency and clarity across the codebase. Her work included fixing numerical bugs and stabilizing timestamp handling, which increased reliability and data integrity. These contributions enabled faster onboarding, more accurate simulations, and clearer reporting for nuclear systems modeling projects.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
49Total
Bugs
3
Commits
49
Features
13
Lines of code
3,290
Activity Months3
Your Network
10 peopleSame Organization
@student.uml.edu3
Work History
December 2024
18 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for dpploy/engy-4390: Delivered end-to-end improvements in Solvent Extraction project documentation and codebase consistency, fixed key numerical bugs, and introduced a new end-to-end use case integrating leaching, decantation-filtration, and Solvex modules. The work enhanced reliability, reproducibility, and business value for modeling scenarios; demonstrated strong skills in Python, Jupyter notebooks, data visualization, and technical documentation.
18 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for dpploy/engy-4390: Delivered end-to-end improvements in Solvent Extraction project documentation and codebase consistency, fixed key numerical bugs, and introduced a new end-to-end use case integrating leaching, decantation-filtration, and Solvex modules. The work enhanced reliability, reproducibility, and business value for modeling scenarios; demonstrated strong skills in Python, Jupyter notebooks, data visualization, and technical documentation.
December 2024
November 2024
28 Commits • 8 Features
Nov 1, 20242024-11 monthly summary for dpploy/engy-4390: Focused on stabilizing core solvex workflows, expanding reporting capabilities, and improving documentation. Delivered core script updates and timestamp handling fixes to improve reliability and compatibility with recent changes. Implemented code cleanup and sizing considerations to reduce technical debt and clarify design decisions. Enhanced project reporting notebooks and visual assets, with binder/nbviewer compatibility, and refreshed use case and readme documentation to strengthen onboarding and stakeholder communication. Overall impact: higher data integrity, faster issue resolution, and clearer, more shareable project outputs.
November 2024
28 Commits • 8 Features
Nov 1, 20242024-11 monthly summary for dpploy/engy-4390: Focused on stabilizing core solvex workflows, expanding reporting capabilities, and improving documentation. Delivered core script updates and timestamp handling fixes to improve reliability and compatibility with recent changes. Implemented code cleanup and sizing considerations to reduce technical debt and clarify design decisions. Enhanced project reporting notebooks and visual assets, with binder/nbviewer compatibility, and refreshed use case and readme documentation to strengthen onboarding and stakeholder communication. Overall impact: higher data integrity, faster issue resolution, and clearer, more shareable project outputs.
October 2024
3 Commits • 2 Features
Oct 1, 2024Concise monthly summary for 2024-10 focusing on delivering notebook-based use cases for solvent extraction and precipitation, notebook refactoring for the Uranium Mill Network Dynamics Simulation, and improvements to reproducibility and data analysis workflows within the Cortix framework. Result: improved plant simulation capacity, data recovery, and plotting pipelines, with measurable business value in faster onboarding and reliable experimentation.
3 Commits • 2 Features
Oct 1, 2024Concise monthly summary for 2024-10 focusing on delivering notebook-based use cases for solvent extraction and precipitation, notebook refactoring for the Uranium Mill Network Dynamics Simulation, and improvements to reproducibility and data analysis workflows within the Cortix framework. Result: improved plant simulation capacity, data recovery, and plotting pipelines, with measurable business value in faster onboarding and reliable experimentation.
October 2024
Activity
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Quality Metrics
Correctness87.4%
Maintainability87.4%
Architecture81.2%
Performance79.6%
AI Usage20.4%
Skills & Technologies
Programming Languages
HTMLJSONJupyter NotebookMarkdownPython
Technical Skills
Chemical EngineeringChemical Engineering SimulationCode CleanupCode LinkingCode RenamingData AnalysisData Analysis DocumentationData PresentationData ScienceData VisualizationDocumentationJupyter NotebookJupyter NotebooksNotebook ManagementNuclear Engineering
Repositories Contributed To
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