Prof-Drake-UMD/INST767-Sp25
Apr 2025 – May 2025
2 Months active
Languages Used
MarkdownPythonCSVSQL
Technical Skills
API IntegrationBasic ScriptingData AnalysisProject DocumentationPython ScriptingCloud Functions
Joshua L
PROFILE
Joshua L
During two months on the Prof-Drake-UMD/INST767-Sp25 repository, J. Lewis established foundational project scaffolding and delivered a disaster data pipeline infrastructure. Lewis began by creating reproducible Python scripts and a detailed README to streamline onboarding and environment validation. The technical approach included integrating APIs for IMDb, OpenWeatherMap, and Ambee, and enriching disaster datasets with OpenStreetMap geocoding. Using Python and SQL, Lewis designed database schemas and implemented data ingestion, processing, and analysis pipelines. The work emphasized maintainability by documenting processes and refactoring legacy scripts, resulting in a clean, extensible codebase that supports repeatable analytics and efficient future development.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
2
Lines of code
13,236
Activity Months2
Your Network
49 people
Work History
May 2025
5 Commits • 1 Features
May 1, 2025Monthly work summary for 2025-05 focusing on the Prof-Drake-UMD/INST767-Sp25 repository. Highlights include delivery of a disaster data pipeline infrastructure, geolocation enrichment, documentation scaffolding, and cleanup/refactor of legacy scripts. Emphasis on business value, maintainability, and technical skill demonstration.
5 Commits • 1 Features
May 1, 2025Monthly work summary for 2025-05 focusing on the Prof-Drake-UMD/INST767-Sp25 repository. Highlights include delivery of a disaster data pipeline infrastructure, geolocation enrichment, documentation scaffolding, and cleanup/refactor of legacy scripts. Emphasis on business value, maintainability, and technical skill demonstration.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025For 2025-04, delivered foundational scaffolding and data collection groundwork for Prof-Drake-UMD/INST767-Sp25. Implemented a test Python script to validate environment setup and published an initial README outlining project goals and early data collection scripts for IMDb and OpenWeatherMap. This groundwork creates a reproducible baseline to accelerate upcoming feature development and data pipelines, and improves onboarding for new contributors.
April 2025
2 Commits • 1 Features
Apr 1, 2025For 2025-04, delivered foundational scaffolding and data collection groundwork for Prof-Drake-UMD/INST767-Sp25. Implemented a test Python script to validate environment setup and published an initial README outlining project goals and early data collection scripts for IMDb and OpenWeatherMap. This groundwork creates a reproducible baseline to accelerate upcoming feature development and data pipelines, and improves onboarding for new contributors.
Activity
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Quality Metrics
Correctness82.8%
Maintainability82.8%
Architecture82.8%
Performance82.8%
AI Usage31.4%
Skills & Technologies
Programming Languages
CSVMarkdownPythonSQL
Technical Skills
API IntegrationBasic ScriptingCloud FunctionsCloud StorageData AnalysisData EngineeringData ProcessingDatabase Schema DesignDatabase ScriptingGeocodingProject DocumentationPython Scripting
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