d2cml-ai/Data-Science-Python
Apr 2025 – Jun 2025
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
API InteractionData AnalysisData CleaningData ExtractionData ProcessingData Visualization
AbigailMontanez
PROFILE
Abigailmontanez
Over a two-month period, contributed to the d2cml-ai/Data-Science-Python repository by developing four data-centric features focused on automation and analytics. Built a Selenium-based job postings scraper for Bumeran.com.pe, enabling filtered data extraction and export to Excel and CSV formats. Designed a Python pipeline to analyze Codeforces contest data, incorporating data cleaning, transformation, and visualization using Pandas and Seaborn. Delivered an end-to-end financial sentiment analysis and PDF summarization tool leveraging Hugging Face Transformers, with robust preprocessing and visualization. Additionally, improved repository maintainability by reorganizing project directories, establishing standardized workflows that support faster onboarding and consistent data processing across tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
4
Lines of code
2,793
Activity Months2
Your Network
32 peopleWork History
June 2025
2 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for d2cml-ai/Data-Science-Python: Delivered two high-impact features, established end-to-end data pipelines, and improved repository maintainability, enabling faster insights and onboarding.
2 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for d2cml-ai/Data-Science-Python: Delivered two high-impact features, established end-to-end data pipelines, and improved repository maintainability, enabling faster insights and onboarding.
June 2025
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary focusing on key accomplishments in data engineering and analytics within d2cml-ai/Data-Science-Python. Delivered two major features enabling automated data ingestion and analytics, with outputs suitable for BI and reporting.
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary focusing on key accomplishments in data engineering and analytics within d2cml-ai/Data-Science-Python. Delivered two major features enabling automated data ingestion and analytics, with outputs suitable for BI and reporting.
Activity
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Quality Metrics
Correctness87.6%
Maintainability85.0%
Architecture85.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API InteractionData AnalysisData CleaningData ExtractionData ProcessingData VisualizationFile I/OFile ManagementHugging Face TransformersJSON HandlingMachine LearningMatplotlibNatural Language ProcessingPandasPyMuPDF
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline