UniversumX/Universum
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
Data AnalysisData PreprocessingData VisualizationFile ManagementMachine LearningMatplotlib
srihari
PROFILE
Srihari
Developed an EEG Power Spectral Density (PSD) analysis tool for the UniversumX/Universum repository, enabling both per-channel and cross-channel PSD visualization and correlation with action values across tasks. The work involved implementing dynamic data path handling in the preprocessing pipeline, supporting flexible subject, visit, and trial indexing to enhance data organization and reproducibility. Leveraging Python, Pandas, and SciPy, the developer also cleaned up unused PSD-related files to prevent configuration drift and improve pipeline stability. These contributions strengthened data integrity and analysis capabilities, allowing for more robust, data-driven decision making and streamlined workflows in EEG signal processing and machine learning contexts.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
659
Activity Months1
Your Network
7 peopleWork History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for UniversumX/Universum: Delivered EEG PSD Analysis Tool with per-channel and cross-channel PSD visualization and correlation to action values across tasks; implemented dynamic data path handling in PSD preprocessing and cleaned up unused PSD-related files to prevent stale configurations; these efforts improve analysis capabilities, data integrity, reproducibility, and pipeline robustness, enabling faster, data-driven decision making.
3 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for UniversumX/Universum: Delivered EEG PSD Analysis Tool with per-channel and cross-channel PSD visualization and correlation to action values across tasks; implemented dynamic data path handling in PSD preprocessing and cleaned up unused PSD-related files to prevent stale configurations; these efforts improve analysis capabilities, data integrity, reproducibility, and pipeline robustness, enabling faster, data-driven decision making.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisData PreprocessingData VisualizationFile ManagementMachine LearningMatplotlibNumPyPandasPythonSciPySignal Processing
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