
Contributed to the AbdelRayan/AutomaticSleepScoring repository by developing foundational analysis frameworks for sleep-stage scoring and transition analytics, enabling reproducible workflows and scalable experiments. Built modular Python and Jupyter Notebook code for overlapping OR analysis and sleep-stage transition extraction, supporting robust data processing and visualization. Enhanced data loading and export capabilities, allowing refined presentation and storage of analytical results across brain regions and experimental groups. Leveraged libraries such as NumPy, Pandas, and Matplotlib to implement FOOOF exponent analysis and statistical comparisons, facilitating cross-group trajectory analysis. Maintained repository hygiene through improved version control practices, supporting collaborative scientific computing and transparent research workflows.
June 2025 monthly summary for AbdelRayan/AutomaticSleepScoring: Delivered two core features, enhanced data handling and analytical capabilities, and advanced trajectory analytics for sleep research, enabling refined presentation and cross-group comparisons across brain regions (PFC and HPC). Emphasis on business value for research teams relying on robust data presentation and export workflows.
June 2025 monthly summary for AbdelRayan/AutomaticSleepScoring: Delivered two core features, enhanced data handling and analytical capabilities, and advanced trajectory analytics for sleep research, enabling refined presentation and cross-group comparisons across brain regions (PFC and HPC). Emphasis on business value for research teams relying on robust data presentation and export workflows.
May 2025 monthly summary for AbdelRayan/AutomaticSleepScoring. Delivered foundational overlap analysis scaffolding and a transition analysis framework for sleep-stage scoring, enabling reproducible workflows and faster iteration. Key outcomes include: (1) initial replication of the overlapping OR component establishing a baseline for 6A HPC/PFC Overlapping OR analysis; (2) development of a sleep-stage transition analysis framework and Figure 6D transitions, including transition window extraction and preparation of FOOF bins for analysis; (3) repository hygiene improvement by updating the ignore pattern to ignore the data/ directory, reducing risk of large data commits. These efforts lay groundwork for scalable experiments, reproducibility, and improved collaboration. Technologies/skills demonstrated include Python-based analysis scaffolding, modular code design, transition/window analytics, FOOF-bin preparation, and Git version-control hygiene.
May 2025 monthly summary for AbdelRayan/AutomaticSleepScoring. Delivered foundational overlap analysis scaffolding and a transition analysis framework for sleep-stage scoring, enabling reproducible workflows and faster iteration. Key outcomes include: (1) initial replication of the overlapping OR component establishing a baseline for 6A HPC/PFC Overlapping OR analysis; (2) development of a sleep-stage transition analysis framework and Figure 6D transitions, including transition window extraction and preparation of FOOF bins for analysis; (3) repository hygiene improvement by updating the ignore pattern to ignore the data/ directory, reducing risk of large data commits. These efforts lay groundwork for scalable experiments, reproducibility, and improved collaboration. Technologies/skills demonstrated include Python-based analysis scaffolding, modular code design, transition/window analytics, FOOF-bin preparation, and Git version-control hygiene.

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