Fernando-JAL/Neurociencias-2025-2
Apr 2025 – May 2025
2 Months active
Languages Used
Python
Technical Skills
ClusteringData AnalysisData VisualizationGaussian Mixture ModelsJupyter NotebookK-Means
Ferlo-17
PROFILE
Ferlo-17
Over a two-month period, contributed to the Fernando-JAL/Neurociencias-2025-2 repository by developing three features focused on neuroscience data analysis and educational resources. Delivered an end-to-end clustering analysis workflow for coactivation matrices, applying K-Means and Gaussian Mixture Models with PCA-based visualizations to support data-driven interpretation and method benchmarking. Expanded the project with deep learning Jupyter notebooks for brain image classification, including CNN-based tumor detection, dataset loading, and image preprocessing using Keras and TensorFlow. Also integrated a student-facing exam resource to enhance accessibility and reproducibility in teaching. All work was implemented in Python, emphasizing clarity, reproducibility, and research alignment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
11,303
Activity Months2
Your Network
37 peopleWork History
May 2025
3 Commits • 2 Features
May 1, 2025May 2025 monthly summary for Fernando-JAL/Neurociencias-2025-2: Delivered new student-facing exam resource and two neuroscience deep-learning notebooks, strengthening teaching materials and research capabilities. These artifacts enhance accessibility, reproducibility, and experimentation in brain-image analysis tasks, enabling faster student prep and prototype development for brain tumor classification.
3 Commits • 2 Features
May 1, 2025May 2025 monthly summary for Fernando-JAL/Neurociencias-2025-2: Delivered new student-facing exam resource and two neuroscience deep-learning notebooks, strengthening teaching materials and research capabilities. These artifacts enhance accessibility, reproducibility, and experimentation in brain-image analysis tasks, enabling faster student prep and prototype development for brain tumor classification.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025Delivered the Coactivation Matrix Clustering Analysis feature in April 2025 for Fernando-JAL/Neurociencias-2025-2. Implemented an end-to-end clustering workflow on the Coactivation_matrix dataset: elbow method for optimal cluster count, K-Means and Gaussian Mixture Models on scaled data, with PCA-based visualizations to compare approaches. This enables data-driven interpretation of coactivation patterns, supports method benchmarking, and informs experimental prioritization. No major bugs fixed this month; focus was on feature delivery and validation.
April 2025
2 Commits • 1 Features
Apr 1, 2025Delivered the Coactivation Matrix Clustering Analysis feature in April 2025 for Fernando-JAL/Neurociencias-2025-2. Implemented an end-to-end clustering workflow on the Coactivation_matrix dataset: elbow method for optimal cluster count, K-Means and Gaussian Mixture Models on scaled data, with PCA-based visualizations to compare approaches. This enables data-driven interpretation of coactivation patterns, supports method benchmarking, and informs experimental prioritization. No major bugs fixed this month; focus was on feature delivery and validation.
Activity
Loading activity data...
Quality Metrics
Correctness84.0%
Maintainability84.0%
Architecture84.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
ClusteringData AnalysisData PreprocessingData ScienceData VisualizationDeep LearningExploratory Data AnalysisGaussian Mixture ModelsImage ClassificationImage PreprocessingJupyter NotebookK-MeansKerasMachine LearningPCA
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline