d2cml-ai/Data-Science-Python
Mar 2025 – Apr 2025
2 Months active
Languages Used
PythonTextExcelJupyter Notebook
Technical Skills
AutomationData ExtractionDependency ManagementPandasSeleniumWeb Scraping
rominaratto
PROFILE
Rominaratto
Worked on the d2cml-ai/Data-Science-Python repository over two months, delivering four features focused on automation and data processing. Developed Python and Selenium scripts to automate job searches on Bumeran, applying filters, scraping job details, and exporting results to Excel using pandas for structured analysis. Established and maintained scaffolding for homework projects, including lifecycle management of placeholder files and cleanup of obsolete dependencies to improve repository hygiene. Consolidated environment setup by standardizing requirements files and removing outdated scripts, enhancing reproducibility and onboarding. Demonstrated strengths in automation, data extraction, and dependency management, with all work implemented in Python and Jupyter Notebook.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
4
Lines of code
1,973
Activity Months2
Your Network
21 peopleWork History
April 2025
8 Commits • 2 Features
Apr 1, 2025Monthly summary for 2025-04 focused on delivering automated data collection capabilities and consolidating project hygiene in the d2cml-ai/Data-Science-Python repository. Key outcomes include automated scraping workflow for Bumeran Job Postings (Selenium-based, applying filters, scraping titles, descriptions, districts, and modality, exporting to Excel; data collection workflow and Pandas DataFrame assembled and persisted to Excel), plus substantial project housekeeping and environment standardization (cleanup of outdated scripts, creation of a centralized requirements file, and minor code cleanup) to improve reproducibility and onboarding.
8 Commits • 2 Features
Apr 1, 2025Monthly summary for 2025-04 focused on delivering automated data collection capabilities and consolidating project hygiene in the d2cml-ai/Data-Science-Python repository. Key outcomes include automated scraping workflow for Bumeran Job Postings (Selenium-based, applying filters, scraping titles, descriptions, districts, and modality, exporting to Excel; data collection workflow and Pandas DataFrame assembled and persisted to Excel), plus substantial project housekeeping and environment standardization (cleanup of outdated scripts, creation of a centralized requirements file, and minor code cleanup) to improve reproducibility and onboarding.
April 2025
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for the d2cml-ai/Data-Science-Python repository. Delivered two key contributions that enhance automation, data collection, and maintainability: a Python-based job search automation script and structured scaffolding for homework projects with lifecycle cleanup across repositories.
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for the d2cml-ai/Data-Science-Python repository. Delivered two key contributions that enhance automation, data collection, and maintainability: a Python-based job search automation script and structured scaffolding for homework projects with lifecycle cleanup across repositories.
Activity
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Quality Metrics
Correctness90.6%
Maintainability90.6%
Architecture90.6%
Performance90.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
ExcelJupyter NotebookPythonText
Technical Skills
AutomationData AnalysisData ExtractionData ProcessingDependency ManagementEnvironment ManagementPandasPythonScriptingSeleniumWeb Scraping
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline