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Gui Lima

PROFILE

Gui Lima

Developed and enhanced precipitation analysis workflows in the dpploy/engy-4390 repository, focusing on scientific computing and data analysis using Python and Jupyter Notebooks. Delivered a new end-to-end simulation notebook with robust plotting of temperature, flow rate, and heat flux, while implementing state-tracking variables to improve analytical depth and reproducibility. Addressed execution errors and plotting inconsistencies through targeted debugging and error handling, ensuring reliable visualizations and accurate reporting. Updated technical documentation and project reports to clarify chemical processes and module interactions, improving interpretability for analysts and stakeholders. The work emphasized maintainable code, reproducible results, and clear communication of complex analyses.

Overall Statistics

Feature vs Bugs

57%Features

Repository Contributions

16Total
Bugs
3
Commits
16
Features
4
Lines of code
1,707
Activity Months2

Work History

December 2024

7 Commits • 1 Features

Dec 1, 2024

December 2024 monthly summary: dpploy/engy-4390 delivered targeted enhancements to precipitation chemistry documentation and reporting, improving clarity and interpretability for analysts and stakeholders. The work included improved notebooks and formal reports, with several commits updating the Precipitation-Project-Report-GuiLima.ipynb and surrounding documentation to reflect new chemical insights and reporting formats.

November 2024

9 Commits • 3 Features

Nov 1, 2024

November 2024 focused on delivering an end-to-end precipitation analysis workflow in the dpploy/engy-4390 repository, including a new use-case notebook, targeted bug fixes for reproducibility, updated project documentation, and enhanced state-tracking capabilities. These efforts improved reliability of visualizations, accelerated experimentation, and clarified module interactions for stakeholders, while strengthening code quality and maintainability.

Activity

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Quality Metrics

Correctness80.0%
Maintainability82.4%
Architecture73.8%
Performance67.4%
AI Usage22.4%

Skills & Technologies

Programming Languages

Jupyter NotebookMarkdownPython

Technical Skills

Chemical EngineeringData AnalysisData Analysis ReportingData VisualizationDebuggingDocumentationError HandlingJupyter NotebookJupyter NotebooksNotebook DevelopmentPython ProgrammingPython ScriptingScientific ComputingSimulationSoftware Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

dpploy/engy-4390

Nov 2024 Dec 2024
2 Months active

Languages Used

Jupyter NotebookPythonMarkdown

Technical Skills

Data AnalysisData Analysis ReportingData VisualizationDebuggingError HandlingJupyter Notebook