UniversumX/Universum
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
Data AnalysisData PreprocessingData VisualizationFile ManagementMachine LearningMatplotlib
srihari
PROFILE
Srihari
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. Using Python, Pandas, and Matplotlib, Srihari implemented dynamic data path handling in the preprocessing pipeline to support flexible subject, visit, and trial indexing, which improved data integrity and reproducibility. The work included cleaning up unused PSD-related files to prevent configuration drift, resulting in a more robust and maintainable analysis pipeline. This engineering effort enhanced the project’s data analysis capabilities and supported faster, data-driven decision making for EEG research workflows.
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 people
Work 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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