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
Vladimir contributed to the Fernando-JAL/Neurociencias-2025-2 repository by developing a complete brain tumor image classification workflow, organizing datasets, and implementing a convolutional neural network using Python and TensorFlow. He enhanced the project’s analytical depth by comparing CNN performance with Gaussian Naive Bayes and Linear Discriminant Analysis, reporting comprehensive evaluation metrics. Vladimir also improved repository structure through documentation scaffolding and periodic cleanup, ensuring clarity for future contributors. His work included asset management, such as adding exam PDFs to streamline academic processes. Throughout, he demonstrated skills in data preprocessing, model evaluation, and version control, delivering well-structured, maintainable solutions without reported bugs.
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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