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
Contributed to the professor-jon-white/COSC_352_FALL_2025 repository by developing tools for data extraction, analysis, and reproducible research workflows. Built a Python script to automate HTML table extraction and CSV generation, supporting both interactive and command-line input, and established a Dockerized environment for consistent project execution. Later, delivered a Scala-based application 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. Leveraged skills in Python, Scala, Docker, and shell scripting to create modular, containerized solutions that facilitate data-driven research and streamline deployment for academic projects.
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 peopleShared Repositories
38
Aayush ShresthaMember
Amit BhattaraiMember
Amit BhattaraiMember
Amit BhattaraiMember
Kyndal MaclinMember
Brian BridgeforthMember
ClydingMember
Chinonsocheq21Member
Crystal-cokeMember
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
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