professor-jon-white/COSC_352_FALL_2025
Sep 2025 – Oct 2025
2 Months active
Languages Used
CSVDockerfilePythonBashScala
Technical Skills
CSV GenerationData ExtractionDockerFile ManagementHTML ParsingPython Development
chbro-97
PROFILE
Chbro-97
Chris Brown developed data extraction and analysis tools for the professor-jon-white/COSC_352_FALL_2025 repository over a two-month period. He built a Python script to automate HTML table extraction and CSV generation, supporting both interactive and command-line workflows, and containerized the environment using Docker for reproducibility. In the following month, Chris delivered a Scala-based tool to analyze Baltimore homicide data, enabling weekend versus weekday pattern analysis and district-level clearance rate metrics, with flexible output formats including CSV and JSON. His work demonstrated depth in backend development, data extraction, and deployment automation, providing robust, reproducible pipelines for research and data analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
2,065
Activity Months2
Your Network
58 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a Scala-based Baltimore homicide data analysis tool for COSC_352_FALL_2025, enabling two core analyses: weekend vs. weekday homicide patterns for resource allocation and district-level case clearance rates for performance assessment. The tool supports multiple output formats (stdout, CSV, JSON) and is Dockerized with a deployment script and README to facilitate setup and execution. Commits reflect feature work (project4 and project5).
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a Scala-based Baltimore homicide data analysis tool for COSC_352_FALL_2025, enabling two core analyses: weekend vs. weekday homicide patterns for resource allocation and district-level case clearance rates for performance assessment. The tool supports multiple output formats (stdout, CSV, JSON) and is Dockerized with a deployment script and README to facilitate setup and execution. Commits reflect feature work (project4 and project5).
October 2025
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025: Delivered foundational data extraction and project scaffolding for COSC_352_FALL_2025. Focused on automating HTML table extraction to CSV and establishing a reproducible run environment for Project 2, setting the stage for scalable data workflows and repeatable research pipelines.
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025: Delivered foundational data extraction and project scaffolding for COSC_352_FALL_2025. Focused on automating HTML table extraction to CSV and establishing a reproducible run environment for Project 2, setting the stage for scalable data workflows and repeatable research pipelines.
Activity
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Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance80.0%
AI Usage36.0%
Skills & Technologies
Programming Languages
BashCSVDockerfilePythonScala
Technical Skills
Backend DevelopmentCSV GenerationCommand-line Interface (CLI)Data AnalysisData ExtractionData Visualization (indirectly via output formats)DockerFile ManagementHTML ParsingPython DevelopmentPython ScriptingScalaScala DevelopmentShell ScriptingWeb Scraping
Repositories Contributed To
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