Fernando-JAL/Neurociencias-2026-1
Oct 2025 – Oct 2025
1 Month active
Languages Used
JSONPython
Technical Skills
Data AnalysisData VisualizationJupyter NotebooksMatplotlibNetworkXNumpy
moncerdz160502-creator
PROFILE
Moncerdz160502-creator
Moncerdz160502 developed a brain connectivity visualization toolkit for the Fernando-JAL/Neurociencias-2026-1 repository, focusing on enabling exploratory analysis and reproducible research in neuroscience. The toolkit introduced Jupyter notebook workflows for loading and manipulating connectivity data, generating both full-matrix and filtered heatmaps, and providing 3D EEG connectivity visualizations. Leveraging Python, Pandas, and Matplotlib, Moncerdz160502 implemented modular visualization components and data pipelines to support future feature expansion. While no major bugs were addressed during this period, the work demonstrated a solid foundation in data analysis and visualization, accelerating brain-network research and enhancing the reproducibility and flexibility of analytical workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
8,059
Activity Months1
Your Network
4 peopleShared Repositories
4
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Oct 2025 monthly summary: Delivered the Brain connectivity visualization toolkit for Fernando-JAL/Neurociencias-2026-1, enabling notebooks-based exploration, 3D EEG connectivity visualization, and data manipulation workflows including loading connectivity data and generating heatmaps (full matrix and filtered subset). No major bugs fixed this month. Overall impact: accelerates brain-network analysis, enhances reproducibility, and expands visualization capabilities, strengthening research-to-prod readiness. Technologies and skills demonstrated: Python-based data processing, Jupyter notebook workflows, 3D visualization, heatmap generation, and modular visualization scaffolding.
2 Commits • 1 Features
Oct 1, 2025Oct 2025 monthly summary: Delivered the Brain connectivity visualization toolkit for Fernando-JAL/Neurociencias-2026-1, enabling notebooks-based exploration, 3D EEG connectivity visualization, and data manipulation workflows including loading connectivity data and generating heatmaps (full matrix and filtered subset). No major bugs fixed this month. Overall impact: accelerates brain-network analysis, enhances reproducibility, and expands visualization capabilities, strengthening research-to-prod readiness. Technologies and skills demonstrated: Python-based data processing, Jupyter notebook workflows, 3D visualization, heatmap generation, and modular visualization scaffolding.
October 2025
Activity
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Quality Metrics
Correctness70.0%
Maintainability70.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
Data AnalysisData VisualizationJupyter NotebooksMatplotlibNetworkXNumpyPandasPythonSciPySeaborn
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