d2cml-ai/Data-Science-Python
Sep 2025 – Sep 2025
1 Month active
Languages Used
CSVHTMLIPythonJSONJavaScriptJupyter NotebookPythonSQL
Technical Skills
API IntegrationCSV HandlingConfiguration ManagementData AnalysisData CleaningData Collection
almendram
PROFILE
Almendram
Contributed to the d2cml-ai/Data-Science-Python repository by developing a comprehensive educational content scaffolding system for a new cohort, focusing on reproducible and scalable data science learning. Delivered over a dozen Jupyter Notebooks and templates for lectures, tutorials, and group assignments, while expanding the data asset library with curated CSV and Excel datasets. Streamlined onboarding through environment configuration and dependency management using Python and Pandas, and maintained repository hygiene by removing obsolete files and managing metadata. Addressed both feature development and bug fixes, demonstrating depth in data engineering, geospatial analysis, and workflow automation to support hands-on, collaborative educational experiences.
Overall Statistics
Feature vs Bugs
85%Features
Repository Contributions
84Total
Bugs
4
Commits
84
Features
22
Lines of code
142,621
Activity Months1
Your Network
32 peopleWork History
September 2025
84 Commits • 22 Features
Sep 1, 2025September 2025 performance summary for d2cml-ai/Data-Science-Python: Delivered comprehensive educational content scaffolding for Batch 2 of 2025-09, plus extensive data assets, environment configuration, and group-assignment materials. The efforts focused on enabling scalable, reproducible, and hands-on learning experiences for the cohort while maintaining clean, well-documented repository hygiene.
84 Commits • 22 Features
Sep 1, 2025September 2025 performance summary for d2cml-ai/Data-Science-Python: Delivered comprehensive educational content scaffolding for Batch 2 of 2025-09, plus extensive data assets, environment configuration, and group-assignment materials. The efforts focused on enabling scalable, reproducible, and hands-on learning experiences for the cohort while maintaining clean, well-documented repository hygiene.
September 2025
Activity
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Quality Metrics
Correctness84.0%
Maintainability83.2%
Architecture82.4%
Performance75.8%
AI Usage28.6%
Skills & Technologies
Programming Languages
CSVHTMLIPythonJSONJavaScriptJupyter NotebookPythonSQL
Technical Skills
API IntegrationCSV HandlingConfiguration ManagementData AnalysisData CleaningData CollectionData EngineeringData EntryData ExportData ExtractionData ManagementData ManipulationData MergingData OrganizationData Processing
Repositories Contributed To
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