d2cml-ai/Data-Science-Python
Apr 2025 – Jun 2025
2 Months active
Languages Used
CSSHTMLJSONJavaScriptJupyter NotebookPython
Technical Skills
API InteractionData AnalysisData ExtractionData ProcessingExcelJupyter Notebook
JosueChumpitazi
PROFILE
Josuechumpitazi
Contributed to the d2cml-ai/Data-Science-Python repository by developing automation pipelines and data acquisition workflows that streamline business analytics and geospatial analysis. Built a Selenium-driven job postings scraper exporting structured results to Excel, enabling efficient candidate sourcing and offline reporting. Integrated API-based contest data retrieval for rapid market insights, focusing on maintainable, readable Python code within Jupyter Notebooks. Delivered geospatial data pipelines using GeoPandas and Rasterio for OpenStreetMap and MOD44B tree cover analysis, including file conversion and geometric processing. Maintained project assets and dependencies to ensure reproducibility, supporting both business stakeholders and educational use cases through robust scripting and data processing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
4
Lines of code
41,904
Activity Months2
Your Network
21 peopleWork History
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for d2cml-ai/Data-Science-Python: Key features delivered include data acquisition notebooks and processing workflows for OpenStreetMap and MOD44B tree cover analysis, plus Homework 5 materials deployment and resource updates. Maintained and cleaned up project assets (removal of obsolete certificate, creation of Contrato_ejercicio.pdf) and dependency updates (libraries: transformers, datasets, torch, PyMuPDF, tqdm) to ensure reproducibility and compatibility. Overall, this month delivered geospatial data pipelines, enhanced educational materials, and a more stable development environment, driving faster data-to-insight cycles and improved learner outcomes.
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for d2cml-ai/Data-Science-Python: Key features delivered include data acquisition notebooks and processing workflows for OpenStreetMap and MOD44B tree cover analysis, plus Homework 5 materials deployment and resource updates. Maintained and cleaned up project assets (removal of obsolete certificate, creation of Contrato_ejercicio.pdf) and dependency updates (libraries: transformers, datasets, torch, PyMuPDF, tqdm) to ensure reproducibility and compatibility. Overall, this month delivered geospatial data pipelines, enhanced educational materials, and a more stable development environment, driving faster data-to-insight cycles and improved learner outcomes.
June 2025
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 summary for d2cml-ai/Data-Science-Python: Focused on delivering automation pipelines and data-driven insights with measurable business value, while improving code quality for maintainability. Delivered end-to-end data tooling that accelerates candidate sourcing and market analytics through structured outputs and API access.
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 summary for d2cml-ai/Data-Science-Python: Focused on delivering automation pipelines and data-driven insights with measurable business value, while improving code quality for maintainability. Delivered end-to-end data tooling that accelerates candidate sourcing and market analytics through structured outputs and API access.
Activity
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Quality Metrics
Correctness90.0%
Maintainability87.6%
Architecture87.6%
Performance87.6%
AI Usage25.0%
Skills & Technologies
Programming Languages
CSSHTMLJSONJavaScriptJupyter NotebookPython
Technical Skills
API InteractionData AcquisitionData AnalysisData ExtractionData FilteringData ProcessingData ScienceExcelFile ConversionGeoPandasGeospatial Data ProcessingHugging Face TransformersJupyter NotebookJupyter NotebooksMachine Learning
Repositories Contributed To
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