
Developed and delivered exploratory data analysis resources for FEMA risk scores and faults within the sfbrigade/datasci-earthquake repository, focusing on usability and reproducibility. Built new EDA notebooks using R programming and data visualization techniques, enabling faster data exploration and supporting FEMA risk assessment workflows. Enhanced onboarding by creating a comprehensive README in Markdown, providing clear guidance for users. Improved repository organization by restructuring resources into subfolders, which streamlined navigation and encouraged reuse. The work emphasized collaborative development through co-authored commits and prioritized maintainable documentation. No major bugs were reported or fixed during this period, reflecting a focus on feature delivery and resource quality.
Month: 2025-11. Key focus on delivering Exploratory Data Analysis (EDA) resources for FEMA risk scores and faults, with emphasis on usability, reproducibility, and onboarding. Delivered new EDA notebooks for FEMA risk scores and faults, added a README with guidance, and reorganized the resources into subfolders to improve navigation. No major bugs reported or fixed this month. Impact: enables faster data exploration for FEMA risk assessment, accelerates decision-making, and improves onboarding. Technologies/skills demonstrated: Python data science (pandas), Jupyter notebooks-based EDA, documentation, repository organization, and collaborative development (co-authored commits).
Month: 2025-11. Key focus on delivering Exploratory Data Analysis (EDA) resources for FEMA risk scores and faults, with emphasis on usability, reproducibility, and onboarding. Delivered new EDA notebooks for FEMA risk scores and faults, added a README with guidance, and reorganized the resources into subfolders to improve navigation. No major bugs reported or fixed this month. Impact: enables faster data exploration for FEMA risk assessment, accelerates decision-making, and improves onboarding. Technologies/skills demonstrated: Python data science (pandas), Jupyter notebooks-based EDA, documentation, repository organization, and collaborative development (co-authored commits).

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