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
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. She developed educational Jupyter notebooks that explained data preparation and regression metrics, and consolidated brain tumor classification experiments using Convolutional Neural Networks and Random Forest models. Her work included implementing data loading, augmentation, model training, and evaluation pipelines with Python, TensorFlow, and Scikit-learn. By resolving data access issues and integrating exam materials, Andrea improved reproducibility and coursework readiness. The depth of her contributions reflects a strong focus on practical machine learning workflows and documentation.
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline