ibs-lab/cedalion
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Algorithm ImplementationData ScienceNumerical AnalysisSignal Processing
Isa Musisi
PROFILE
Isa Musisi
Isa Wasswa-Musisi developed a robust signal-processing feature for the ibs-lab/cedalion repository, focusing on the integration of the Automatic Multiscale Peak Detection (AMPD) algorithm. Using Python and Jupyter Notebook, Isa implemented the algorithm to process signals in overlapping chunks, leveraging a local scalogram matrix to improve peak detection reliability, especially in noisy NIRS data. The work included both a reusable Python module and a demonstration notebook to facilitate rapid adoption across teams. Drawing on skills in algorithm implementation, data science, and numerical analysis, Isa delivered a well-structured solution that addressed practical challenges in signal analysis and feature extraction.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
539
Activity Months1
Your Network
10 people
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 – ibs-lab/cedalion: Primary focus on delivering a robust signal-processing feature with clear business value. No major bugs documented for this period; the emphasis was on feature delivery and demonstration assets to enable rapid adoption and reuse across teams.
1 Commits • 1 Features
Nov 1, 2024November 2024 – ibs-lab/cedalion: Primary focus on delivering a robust signal-processing feature with clear business value. No major bugs documented for this period; the emphasis was on feature delivery and demonstration assets to enable rapid adoption and reuse across teams.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Algorithm ImplementationData ScienceNumerical AnalysisSignal Processing
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