Fernando-JAL/Neurociencias-2025-2
Jan 2025 – May 2025
3 Months active
Languages Used
TextJupyter NotebookPython
Technical Skills
DocumentationConvolutional Neural Networks (CNN)Data AnalysisData OrganizationData VisualizationDeep Learning
Vlad49-lab
PROFILE
Vlad49-lab
Over a three-month period, contributed to the Fernando-JAL/Neurociencias-2025-2 repository by establishing documentation scaffolding, maintaining repository hygiene, and delivering both educational assets and a complete machine learning workflow. Initial work focused on creating and organizing documentation to support onboarding and future development. Subsequent efforts included codebase cleanup to remove obsolete files, enhancing clarity for contributors. The most technical contribution involved developing a brain tumor image classification project using Python, TensorFlow, and Keras, encompassing dataset organization, convolutional neural network modeling, and comparative evaluation against traditional classifiers. No bugs were reported or fixed, reflecting a focus on new feature delivery and repository structure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
4
Lines of code
401
Activity Months3
Your Network
37 peopleSame Organization
@comunidad.unam.mx17
Work History
May 2025
8 Commits • 2 Features
May 1, 2025May 2025 delivered two high-impact outcomes in Fernando-JAL/Neurociencias-2025-2: (1) asset delivery of third partial exam PDFs for multiple students with no code changes, enabling streamlined study and compliance; (2) completion of a brain tumor image classification project with end-to-end workflow, including dataset organization, CNN model development, and evaluation, with comparative analysis against Gaussian Naive Bayes and Linear Discriminant Analysis. No major bugs fixed this month. Overall impact: improved educational material accessibility and strengthened data science capabilities with tangible metrics. Technologies demonstrated: Python, CNNs, data preprocessing, evaluation metrics, and Git-based version control.
8 Commits • 2 Features
May 1, 2025May 2025 delivered two high-impact outcomes in Fernando-JAL/Neurociencias-2025-2: (1) asset delivery of third partial exam PDFs for multiple students with no code changes, enabling streamlined study and compliance; (2) completion of a brain tumor image classification project with end-to-end workflow, including dataset organization, CNN model development, and evaluation, with comparative analysis against Gaussian Naive Bayes and Linear Discriminant Analysis. No major bugs fixed this month. Overall impact: improved educational material accessibility and strengthened data science capabilities with tangible metrics. Technologies demonstrated: Python, CNNs, data preprocessing, evaluation metrics, and Git-based version control.
May 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — concise, business-value oriented monthly summary for Fernando-JAL/Neurociencias-2025-2 focusing on repository hygiene and non-functional improvements. No new features or code changes were introduced beyond cleanup; only a file removal was performed.
March 2025
1 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — concise, business-value oriented monthly summary for Fernando-JAL/Neurociencias-2025-2 focusing on repository hygiene and non-functional improvements. No new features or code changes were introduced beyond cleanup; only a file removal was performed.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 performance: Delivered foundational repository scaffolding for Fernando-JAL/Neurociencias-2025-2 by adding two placeholder documentation files (Damian.txt, 'Expectativas de la Clase.txt'), establishing a documentation scaffold for onboarding and future work. No major bugs fixed this month. This work strengthens project readiness, improves traceability, and sets a clear path for future documentation and alignment with academic program goals. Technologies demonstrated include repository scaffolding, basic docs architecture, cross-lingual file naming, and Git-based change traceability.
2 Commits • 1 Features
Jan 1, 2025January 2025 performance: Delivered foundational repository scaffolding for Fernando-JAL/Neurociencias-2025-2 by adding two placeholder documentation files (Damian.txt, 'Expectativas de la Clase.txt'), establishing a documentation scaffold for onboarding and future work. No major bugs fixed this month. This work strengthens project readiness, improves traceability, and sets a clear path for future documentation and alignment with academic program goals. Technologies demonstrated include repository scaffolding, basic docs architecture, cross-lingual file naming, and Git-based change traceability.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability89.0%
Architecture90.0%
Performance87.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonText
Technical Skills
Convolutional Neural Networks (CNN)Data AnalysisData OrganizationData VisualizationDeep LearningDocumentationImage ClassificationImage PreprocessingKerasMachine LearningMatplotlibModel EvaluationOpenCVPythonScikit-learn
Repositories Contributed To
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