Fernando-JAL/Neurociencias-2025-2
Jan 2025 – May 2025
4 Months active
Languages Used
PythonJupyter NotebookMarkdown
Technical Skills
Data VisualizationData AnalysisDecision TreesMachine LearningMatplotlibPandas
Larissa Rodríguez
PROFILE
Larissa Rodríguez
Larissa Rodríguez contributed to the Fernando-JAL/Neurociencias-2025-2 repository by developing end-to-end machine learning workflows and educational resources over four months. She built a brain tumor image classification pipeline using convolutional neural networks in Python, incorporating data loading, augmentation, and evaluation with Keras and TensorFlow. Larissa also authored Jupyter notebooks on regression error metrics and decision tree classifiers, enhancing reproducibility and onboarding for the team. Her work included refactoring existing notebooks for clarity, implementing asset management strategies, and consolidating exam resources. The depth of her contributions improved documentation, repository organization, and the overall educational value of the project’s materials.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
6
Lines of code
10,465
Activity Months4
Your Network
37 peopleSame Organization
@comunidad.unam.mx17
Work History
May 2025
7 Commits • 3 Features
May 1, 2025For May 2025, delivered end-to-end educational artifacts in Fernando-JAL/Neurociencias-2025-2: a Brain Tumor Image Classification project with CNN-based pipelines, data loading/augmentation, training/evaluation workflows, and exploratory PCA/model comparisons; Educational notebooks detailing regression error metrics (MSE, MAE, RMSE, R-squared) with formulas and practical examples; and Course Exam Resources including the Examen_3er_parcial_larissarodriguez.pdf. The work consolidates reproducible workflows, enhances learning materials, and expands assessment resources for the program. No major bugs reported; focus was on feature delivery, documentation, and project consolidation to improve business value and educational impact.
7 Commits • 3 Features
May 1, 2025For May 2025, delivered end-to-end educational artifacts in Fernando-JAL/Neurociencias-2025-2: a Brain Tumor Image Classification project with CNN-based pipelines, data loading/augmentation, training/evaluation workflows, and exploratory PCA/model comparisons; Educational notebooks detailing regression error metrics (MSE, MAE, RMSE, R-squared) with formulas and practical examples; and Course Exam Resources including the Examen_3er_parcial_larissarodriguez.pdf. The work consolidates reproducible workflows, enhances learning materials, and expands assessment resources for the program. No major bugs reported; focus was on feature delivery, documentation, and project consolidation to improve business value and educational impact.
May 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025Monthly summary for April 2025 (Fernando-JAL/Neurociencias-2025-2). Key deliverables include refactoring Examen_1er_parcial_estela notebook to improve organization and readability, and delivering an end-to-end Iris dataset decision tree notebook tutorial, covering data loading, model training, tree visualization, and confusion matrix evaluation. The work enhances reproducibility, onboarding, and educational value for the team, with demonstrated proficiency in Python, Jupyter notebooks, scikit-learn, data visualization, and evaluation workflows.
April 2025
3 Commits • 2 Features
Apr 1, 2025Monthly summary for April 2025 (Fernando-JAL/Neurociencias-2025-2). Key deliverables include refactoring Examen_1er_parcial_estela notebook to improve organization and readability, and delivering an end-to-end Iris dataset decision tree notebook tutorial, covering data loading, model training, tree visualization, and confusion matrix evaluation. The work enhances reproducibility, onboarding, and educational value for the team, with demonstrated proficiency in Python, Jupyter notebooks, scikit-learn, data visualization, and evaluation workflows.
March 2025
1 Commits
Mar 1, 2025Month 2025-03: No new features shipped; primary focus on codebase hygiene and asset-management readiness. Key issue identified: a PNG image embedded in code in Fernando-JAL/Neurociencias-2025-2 (commit 62ac702919c12d1164f2a16b55f047d2451c17cb). This bloats the repository and mixes binary data with source; plan to remove binary blobs from commits and move assets to a dedicated assets folder or asset pipeline. Impact: reduces repo size, mitigates risks, and enables scalable asset handling for future exams. Next steps: implement asset extraction, integrate with asset pipeline, and enforce best practices for binary assets.
1 Commits
Mar 1, 2025Month 2025-03: No new features shipped; primary focus on codebase hygiene and asset-management readiness. Key issue identified: a PNG image embedded in code in Fernando-JAL/Neurociencias-2025-2 (commit 62ac702919c12d1164f2a16b55f047d2451c17cb). This bloats the repository and mixes binary data with source; plan to remove binary blobs from commits and move assets to a dedicated assets folder or asset pipeline. Impact: reduces repo size, mitigates risks, and enables scalable asset handling for future exams. Next steps: implement asset extraction, integrate with asset pipeline, and enforce best practices for binary assets.
March 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for Fernando-JAL/Neurociencias-2025-2. Focused on establishing documentation scaffolding to support upcoming content for 'Expectativas Larissa'. Created an empty file 'Expectativas Larissa.txt' as a placeholder/documentation scaffold and committed with message 'Expectativas Larissa'. No major bugs fixed this month; efforts centered on groundwork that enables faster onboarding and future content delivery. Overall impact: improved readiness for content development, clearer documentation structure, and stronger version-control practices.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for Fernando-JAL/Neurociencias-2025-2. Focused on establishing documentation scaffolding to support upcoming content for 'Expectativas Larissa'. Created an empty file 'Expectativas Larissa.txt' as a placeholder/documentation scaffold and committed with message 'Expectativas Larissa'. No major bugs fixed this month; efforts centered on groundwork that enables faster onboarding and future content delivery. Overall impact: improved readiness for content development, clearer documentation structure, and stronger version-control practices.
Activity
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Quality Metrics
Correctness84.2%
Maintainability83.4%
Architecture80.0%
Performance78.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
ANNConvolutional Neural Networks (CNN)Data AnalysisData ScienceData VisualizationDecision TreesDeep LearningImage ClassificationImage ProcessingKerasMachine LearningMatplotlibNumPyOpenCVPCA
Repositories Contributed To
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