
Over a two-month period, contributed to the professor-jon-white/COSC_352_FALL_2025 repository by developing containerized data extraction tools and project scaffolding for streamlined onboarding and reproducible workflows. Built a Python command-line utility to extract and sanitize HTML tables, exporting them as CSV files, and packaged the solution with Docker for consistent deployment. Introduced a bash-orchestrated workflow that processes multiple input files in batch, outputs CSVs, and bundles results into a ZIP archive for downstream analytics. Focused on maintainability and deployment readiness, leveraging Python, Bash, and Docker to automate web scraping, CSV processing, and file handling without addressing critical bug fixes.
2025-10 Monthly Summary: Delivered a new, containerized data extraction workflow (Project3) to automate HTML table to CSV conversion, enabling reproducible runs and batch processing. While no major bugs were fixed this month, the work establishes a scalable foundation for downstream analytics and faster iteration.
2025-10 Monthly Summary: Delivered a new, containerized data extraction workflow (Project3) to automate HTML table to CSV conversion, enabling reproducible runs and batch processing. While no major bugs were fixed this month, the work establishes a scalable foundation for downstream analytics and faster iteration.
September 2025 monthly summary for COSC_352_FALL_2025: Delivered core tooling and project scaffolding to accelerate data processing and project onboarding, with containerized deployment readiness. No explicit critical bugs fixed this month; packaging and scaffolding improvements addressed maintainability and deployment readiness.
September 2025 monthly summary for COSC_352_FALL_2025: Delivered core tooling and project scaffolding to accelerate data processing and project onboarding, with containerized deployment readiness. No explicit critical bugs fixed this month; packaging and scaffolding improvements addressed maintainability and deployment readiness.

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