Fernando-JAL/Neurociencias-2025-2
Jan 2025 – May 2025
4 Months active
Languages Used
PythonJupyter NotebookMarkdownPDF
Technical Skills
Data ScienceMachine LearningNeuroscienceData AnalysisData VisualizationDecision Trees
esteliux
PROFILE
Esteliux
Fernando developed a suite of machine learning and educational tools within the Fernando-JAL/Neurociencias-2025-2 repository, focusing on reproducible workflows and instructional clarity. He delivered modular exam systems, end-to-end analysis notebooks for discriminant analysis and decision trees, and benchmarking pipelines for brain tumor image classification. Using Python, Jupyter Notebook, and frameworks like TensorFlow and Scikit-learn, Fernando emphasized clear documentation, data preprocessing, and visualizations to support both teaching and model evaluation. His work established scalable project scaffolding, standardized assessment modules, and comparative studies of AI frameworks, demonstrating depth in both technical implementation and educational content creation over four months.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
8
Lines of code
53,104
Activity Months4
Your Network
37 peopleSame Organization
@comunidad.unam.mx17
Work History
May 2025
7 Commits • 4 Features
May 1, 2025May 2025: Focused delivery of educational tooling and ML benchmarking assets within Fernando-JAL/Neurociencias-2025-2, enabling faster model evaluation, clearer framework selection, and reproducible instructional material. No major bugs reported for this period; all work emphasized feature delivery and documentation to improve adoption and business value.
7 Commits • 4 Features
May 1, 2025May 2025: Focused delivery of educational tooling and ML benchmarking assets within Fernando-JAL/Neurociencias-2025-2, enabling faster model evaluation, clearer framework selection, and reproducible instructional material. No major bugs reported for this period; all work emphasized feature delivery and documentation to improve adoption and business value.
May 2025
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025: Delivered two end-to-end ML notebooks focused on discriminant analysis and decision-tree learning for the Iris dataset in Fernando-JAL/Neurociencias-2025-2. The work enhances reproducibility, educational value, and ready-to-demo ML workflows, supporting analytical decisions with clear visuals and explanations.
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025: Delivered two end-to-end ML notebooks focused on discriminant analysis and decision-tree learning for the Iris dataset in Fernando-JAL/Neurociencias-2025-2. The work enhances reproducibility, educational value, and ready-to-demo ML workflows, supporting analytical decisions with clear visuals and explanations.
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 for Fernando-JAL/Neurociencias-2025-2: Key features delivered: Comprehensive Neuroscience Exam Module for the first partial, including exam structure, content coverage, and evaluation mechanisms (commit 2e0bdbc5473f86a2eeb2751335daab137bca0ece; examen_1er_parcial_estela). Major bugs fixed: No major bugs reported or fixed in March 2025 for this repository. Overall impact and accomplishments: Provides end-to-end assessment capability, enabling standardized grading and feedback, improves curriculum alignment, and lays the foundation for adding additional partials and future enhancements, accelerating the exam delivery lifecycle. Technologies/skills demonstrated: Modular exam system design, end-to-end assessment workflow, disciplined version control with clear commit traceability, and collaborative development evidenced by targeted commit messages.
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 for Fernando-JAL/Neurociencias-2025-2: Key features delivered: Comprehensive Neuroscience Exam Module for the first partial, including exam structure, content coverage, and evaluation mechanisms (commit 2e0bdbc5473f86a2eeb2751335daab137bca0ece; examen_1er_parcial_estela). Major bugs fixed: No major bugs reported or fixed in March 2025 for this repository. Overall impact and accomplishments: Provides end-to-end assessment capability, enabling standardized grading and feedback, improves curriculum alignment, and lays the foundation for adding additional partials and future enhancements, accelerating the exam delivery lifecycle. Technologies/skills demonstrated: Modular exam system design, end-to-end assessment workflow, disciplined version control with clear commit traceability, and collaborative development evidenced by targeted commit messages.
March 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for Fernando-JAL/Neurociencias-2025-2. This period focused on establishing repository scaffolding and project readiness to enable rapid feature development in subsequent sprints. No code changes or user-facing functionality were delivered this month; instead, groundwork was laid for consistent onboarding, collaboration, and future feature work.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for Fernando-JAL/Neurociencias-2025-2. This period focused on establishing repository scaffolding and project readiness to enable rapid feature development in subsequent sprints. No code changes or user-facing functionality were delivered this month; instead, groundwork was laid for consistent onboarding, collaboration, and future feature work.
Activity
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Quality Metrics
Correctness84.6%
Maintainability84.6%
Architecture84.6%
Performance81.4%
AI Usage23.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPDFPython
Technical Skills
AI FrameworksData AnalysisData PreprocessingData ScienceData VisualizationDecision TreesDeep LearningEducational Content CreationImage ClassificationJupyter NotebookKerasMachine LearningMatplotlibNeuroscienceOpenCV
Repositories Contributed To
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