Fernando developed a Sleep Data Processing Notebook for the Fernando-JAL/Neurociencias-2026-1 repository, focusing on automated extraction and filtering of sleep data from EDF files. Using Python and Jupyter, Fernando established a reproducible workflow that enables efficient data analysis and signal processing within a single notebook environment. The initial implementation included steps for reading, extracting, and filtering raw sleep data, providing a foundation for further analysis and research. While the work was limited to one feature over a one-month period and did not address bug fixes, it demonstrated a focused application of data analysis and signal processing skills in Python.