AbdelRayan/AutomaticSleepScoring
Oct 2024 – Dec 2024
3 Months active
Languages Used
Jupyter NotebookPythonShellJSON
Technical Skills
Data AnalysisData CleaningData VisualizationGraphvizHidden Markov ModelsMachine Learning
piotrd17
PROFILE
Piotrd17
Contributed to the AbdelRayan/AutomaticSleepScoring repository by developing and integrating a Hidden Markov Model-based sequencing layer for sleep state analysis, enabling improved sequential inference and model validation through custom visualization tools. Focused on establishing a robust project scaffold and onboarding essential data assets, the work emphasized reproducibility and streamlined experimentation. Maintained high code quality by systematically removing deprecated notebooks and obsolete data files, reducing technical debt and repository clutter. Demonstrated strong skills in Python, Jupyter Notebooks, and data visualization libraries such as Matplotlib and Seaborn, while applying best practices in repository management, version control, and collaborative data science workflows.
Overall Statistics
Feature vs Bugs
36%Features
Repository Contributions
48Total
Bugs
9
Commits
48
Features
5
Lines of code
115,936
Activity Months3
Your Network
7 peopleWork History
December 2024
19 Commits • 2 Features
Dec 1, 2024Monthly Summary for 2024-12 (AbdelRayan/AutomaticSleepScoring) Key features delivered - Data/assets baseline populated via multiple file uploads to the repository, enabling immediate experimentation and faster model iteration. Major bugs fixed - Removed deprecated notebooks HMM_PiotrD.ipynb and HMM_PiotrD_week15.ipynb across several commits to reduce confusion and technical debt. - Deleted obsolete data artifact string_analysis_hypno_latencies_tonic_phasic.xlsx to prevent stale references. Overall impact and accomplishments - Improved data hygiene and repository maintainability; onboarding for new contributors is smoother; repository is leaner and ready for modeling pipelines. Technologies/skills demonstrated - Git/version control discipline across multiple commits; data asset management; notebook/file cleanup; cross-team collaboration. Business value - Faster iteration cycles, clearer data provenance, and reduced maintenance costs.
19 Commits • 2 Features
Dec 1, 2024Monthly Summary for 2024-12 (AbdelRayan/AutomaticSleepScoring) Key features delivered - Data/assets baseline populated via multiple file uploads to the repository, enabling immediate experimentation and faster model iteration. Major bugs fixed - Removed deprecated notebooks HMM_PiotrD.ipynb and HMM_PiotrD_week15.ipynb across several commits to reduce confusion and technical debt. - Deleted obsolete data artifact string_analysis_hypno_latencies_tonic_phasic.xlsx to prevent stale references. Overall impact and accomplishments - Improved data hygiene and repository maintainability; onboarding for new contributors is smoother; repository is leaner and ready for modeling pipelines. Technologies/skills demonstrated - Git/version control discipline across multiple commits; data asset management; notebook/file cleanup; cross-team collaboration. Business value - Faster iteration cycles, clearer data provenance, and reduced maintenance costs.
December 2024
November 2024
25 Commits • 2 Features
Nov 1, 2024Concise monthly summary for AbdelRayan/AutomaticSleepScoring focusing on deliverables, fixes, and impact for November 2024. The month centered on establishing a solid project scaffold, onboarding assets, and cleaning up stale content to enable reproducible experimentation and faster onboarding for new contributors.
November 2024
25 Commits • 2 Features
Nov 1, 2024Concise monthly summary for AbdelRayan/AutomaticSleepScoring focusing on deliverables, fixes, and impact for November 2024. The month centered on establishing a solid project scaffold, onboarding assets, and cleaning up stale content to enable reproducible experimentation and faster onboarding for new contributors.
October 2024
4 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for AbdelRayan/AutomaticSleepScoring: Key feature delivery includes integration of Hidden Markov Model (HMM) for sequencing analysis, including input encoding, transition probability computation over time windows, and visualization of original vs predicted sequences and transitions, enabling improved sequential state analysis and potential accuracy improvements. Cleanup work removed obsolete HMM Piotr notebook to reduce confusion and maintain a clean codebase. Major commits reflect feature work (386be372f052dd6fb635d8f4d483aaff066a50fb; 6ad05f07180fdd33ada2db4c009ecce11e6362b7) and cleanup (8a2b6341bb98e22398c9570269362c8153c36a84; 2b25616558c74e8e4aa9dd7bbe6076de0f409281). Impact: establishes a robust HMM-based sequencing layer for sleep-scoring, enabling deeper insights and more reliable state inference, while reducing maintenance overhead. Technologies/skills demonstrated: Python, HMM theory and implementation, time-series encoding, transition probability estimation, data visualization, Jupyter notebooks, Git/version control.
4 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for AbdelRayan/AutomaticSleepScoring: Key feature delivery includes integration of Hidden Markov Model (HMM) for sequencing analysis, including input encoding, transition probability computation over time windows, and visualization of original vs predicted sequences and transitions, enabling improved sequential state analysis and potential accuracy improvements. Cleanup work removed obsolete HMM Piotr notebook to reduce confusion and maintain a clean codebase. Major commits reflect feature work (386be372f052dd6fb635d8f4d483aaff066a50fb; 6ad05f07180fdd33ada2db4c009ecce11e6362b7) and cleanup (8a2b6341bb98e22398c9570269362c8153c36a84; 2b25616558c74e8e4aa9dd7bbe6076de0f409281). Impact: establishes a robust HMM-based sequencing layer for sleep-scoring, enabling deeper insights and more reliable state inference, while reducing maintenance overhead. Technologies/skills demonstrated: Python, HMM theory and implementation, time-series encoding, transition probability estimation, data visualization, Jupyter notebooks, Git/version control.
October 2024
Activity
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Quality Metrics
Correctness85.8%
Maintainability86.6%
Architecture86.6%
Performance83.4%
AI Usage20.8%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPythonShell
Technical Skills
Code CleanupCode ManagementData AnalysisData CleaningData ScienceData VisualizationFile ManagementGraphvizHDF5Hidden Markov ModelsHidden Markov Models (HMM)Jupyter NotebookJupyter NotebooksMachine LearningMatplotlib
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