Fernando-JAL/Neurociencias-2025-2
Jan 2025 – May 2025
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
Convolutional Neural Networks (CNN)Data AnalysisData AugmentationData PreprocessingDeep LearningImage Preprocessing
Andrea Mercado
PROFILE
Andrea Mercado
Contributed to the Fernando-JAL/Neurociencias-2025-2 repository by establishing the initial project scaffolding and later delivering core features for machine learning coursework and research. Developed educational Jupyter notebooks focused on data preparation, regression metrics, and brain tumor classification using Convolutional Neural Networks and Random Forest models. Leveraged Python, TensorFlow, and Scikit-learn to implement data augmentation, preprocessing, and model evaluation workflows. Added exam materials to support academic use and consolidated experimental notebooks for reproducibility and comparison. The work emphasized clear documentation, reproducible experiments, and practical machine learning pipelines, laying a foundation for future development and streamlined onboarding for collaborators.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
4
Lines of code
4,560
Activity Months2
Your Network
37 peopleSame Organization
@comunidad.unam.mx17
Work History
May 2025
7 Commits • 3 Features
May 1, 2025May 2025: Delivered three core feature areas in Fernando-JAL/Neurociencias-2025-2, improved learning resources, and advanced ML experiments. Resolved a data-loading issue in an Educational ML notebook; added exam materials; consolidated brain-tumor classification notebooks and experiments, with clear comparisons and visualizations. These efforts enhance coursework readiness, research reproducibility, and project outcomes, leveraging Python, ML libraries, and data-augmentation workflows.
7 Commits • 3 Features
May 1, 2025May 2025: Delivered three core feature areas in Fernando-JAL/Neurociencias-2025-2, improved learning resources, and advanced ML experiments. Resolved a data-loading issue in an Educational ML notebook; added exam materials; consolidated brain-tumor classification notebooks and experiments, with clear comparisons and visualizations. These efforts enhance coursework readiness, research reproducibility, and project outcomes, leveraging Python, ML libraries, and data-augmentation workflows.
May 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for Fernando-JAL/Neurociencias-2025-2. Focused on establishing a solid project baseline to accelerate future development. Implemented initial scaffolding and created the placeholder document to define expectations. No user-facing features were released this month; groundwork supports rapid feature delivery in subsequent sprints.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for Fernando-JAL/Neurociencias-2025-2. Focused on establishing a solid project baseline to accelerate future development. Implemented initial scaffolding and created the placeholder document to define expectations. No user-facing features were released this month; groundwork supports rapid feature delivery in subsequent sprints.
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Convolutional Neural Networks (CNN)Data AnalysisData AugmentationData PreprocessingDeep LearningImage PreprocessingImage ProcessingKerasMachine LearningMatplotlibModel EvaluationPandasPythonRandom ForestScikit-learn
Repositories Contributed To
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