natmourajr/CPE883-2025-02
Sep 2025 – Sep 2025
1 Month active
Languages Used
Python
Technical Skills
Cross-ValidationData PreprocessingDeep LearningImbalanced-learnMachine LearningModel Development
Luiza Helena
PROFILE
Luiza Helena
Luiza Andrade developed a scalable experimentation stack for Room Occupancy Estimation, focusing on end-to-end pipelines and prototype models in the natmourajr/CPE883-2025-02 repository. She implemented data preprocessing, cross-validation, and training routines using Python, PyTorch, and Scikit-learn, enabling rapid benchmarking of deep learning architectures such as LSTM, MLP, DeepONet, and KANTransformer. Her work emphasized reproducibility and scalability, allowing for efficient iteration and easier integration with future production workflows. By building comprehensive experimental pipelines, Luiza addressed the challenges of model comparison and experimentation, providing a robust foundation for ongoing research and development in occupancy estimation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,372
Activity Months1
Your Network
16 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a scalable Room Occupancy Estimation experimentation stack, including prototype models and end-to-end pipelines. Implemented data preprocessing, training routines, and cross-validation workflows to enable rapid benchmarking of multiple deep learning architectures and prepare for production-ready experimentation.
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a scalable Room Occupancy Estimation experimentation stack, including prototype models and end-to-end pipelines. Implemented data preprocessing, training routines, and cross-validation workflows to enable rapid benchmarking of multiple deep learning architectures and prepare for production-ready experimentation.
September 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Cross-ValidationData PreprocessingDeep LearningImbalanced-learnMachine LearningModel DevelopmentPyTorchScikit-learn
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