d2cml-ai/Data-Science-Python
Apr 2025 – Apr 2025
1 Month active
Languages Used
CSVHTMLPython
Technical Skills
Data AnalysisData ExtractionPython DevelopmentSeleniumWeb Scraping
fabianlo03
PROFILE
Fabianlo03
Developed an automated job scraper for the d2cml-ai/Data-Science-Python repository, targeting programming roles posted within the last 15 days on Bumeran Peru. Leveraged Python and Selenium to extract key job details such as title, description, location, and work mode, persisting the results in both CSV and Excel formats for downstream analysis. The implementation included comprehensive environment setup and dependency documentation to streamline deployment for talent sourcing and market research. No major bugs were reported during the period, and the focus remained on code quality, maintainability, and readiness for production-scale data extraction and analysis using web scraping techniques.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
3,602
Activity Months1
Your Network
21 peopleWork History
April 2025
1 Commits • 1 Features
Apr 1, 2025Concise 2025-04 monthly summary focusing on key product features and code quality improvements. In April, the team delivered a self-contained automated job-scraper for Bumeran Peru targeted at programming roles posted within the last 15 days. The scraper collects title, description, location, and work mode, and persists results to CSV and Excel. It includes environment setup and dependency instructions to enable quick deployment for talent sourcing and market analysis. No major bugs were reported in this repository this month; ongoing maintenance and readiness for production-scale data collection were prioritized.
1 Commits • 1 Features
Apr 1, 2025Concise 2025-04 monthly summary focusing on key product features and code quality improvements. In April, the team delivered a self-contained automated job-scraper for Bumeran Peru targeted at programming roles posted within the last 15 days. The scraper collects title, description, location, and work mode, and persists results to CSV and Excel. It includes environment setup and dependency instructions to enable quick deployment for talent sourcing and market analysis. No major bugs were reported in this repository this month; ongoing maintenance and readiness for production-scale data collection were prioritized.
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVHTMLPython
Technical Skills
Data AnalysisData ExtractionPython DevelopmentSeleniumWeb Scraping
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