pcamarillor/O2025_ESI3914O
Aug 2025 – Sep 2025
2 Months active
Languages Used
MarkdownJSONJupyter NotebookPython
Technical Skills
DocumentationApache SparkData AnalysisData EngineeringJupyter NotebooksObject-Oriented Programming
Renata Tejeda
PROFILE
Renata Tejeda
Contributed to the pcamarillor/O2025_ESI3914O repository by developing a suite of data science labs and documentation to support onboarding and reproducible analytics workflows. Delivered features such as a Playlist Analysis Lab for user-song data exploration, a Bank Account Manager implemented with Python classes in Jupyter Notebooks, and Spark-based utilities for schema generation and data parsing. Emphasized clear documentation and structured repository organization using Markdown and version control. Leveraged skills in Apache Spark, Python scripting, and data engineering to create practical, end-to-end solutions for analytics and onboarding, focusing on maintainability, transparency, and ease of use for future collaborators.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
4
Lines of code
601
Activity Months2
Your Network
15 peopleShared Repositories
15
Arantxa AnguloMember
JosMember
EduNav04Member
thexavirooMember
perrionskyMember
Juan LópezMember
luci-efeMember
danielarellMember
Luis GonzalezMember
Work History
September 2025
3 Commits • 3 Features
Sep 1, 2025September 2025: Delivered a cohesive data science lab suite for pcamarillor/O2025_ESI3914O, focusing on end-to-end analytics, basic financial modeling, and Spark-based data processing. Implementations include a Playlist Analysis Lab to identify per-user unique songs and the most popular by unique listeners; a Bank Account Manager Lab with a Python class for deposits, withdrawals, and balance checks in a Jupyter environment; and Spark Utilities and Notebooks introducing temperature conversion and schema generation, along with an updated Python utility for Spark schema creation and data parsing. These efforts are complemented by lab setup information to ensure quick reproducibility. No major defects reported; emphasis on reproducibility, documentation, and practical data science workflows.
3 Commits • 3 Features
Sep 1, 2025September 2025: Delivered a cohesive data science lab suite for pcamarillor/O2025_ESI3914O, focusing on end-to-end analytics, basic financial modeling, and Spark-based data processing. Implementations include a Playlist Analysis Lab to identify per-user unique songs and the most popular by unique listeners; a Bank Account Manager Lab with a Python class for deposits, withdrawals, and balance checks in a Jupyter environment; and Spark Utilities and Notebooks introducing temperature conversion and schema generation, along with an updated Python utility for Spark schema creation and data parsing. These efforts are complemented by lab setup information to ensure quick reproducibility. No major defects reported; emphasis on reproducibility, documentation, and practical data science workflows.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Delivered a new contributor bio for Renata Tejeda to strengthen onboarding and collaboration transparency within the pcamarillor/O2025_ESI3914O repository. No major bugs fixed this month. Impact: improved contributor visibility, streamlined onboarding for new collaborators, and a scalable approach for documenting team bios. Technologies/skills demonstrated: Markdown content creation, structured repo organization, and version-controlled documentation updates.
August 2025
1 Commits • 1 Features
Aug 1, 2025Delivered a new contributor bio for Renata Tejeda to strengthen onboarding and collaboration transparency within the pcamarillor/O2025_ESI3914O repository. No major bugs fixed this month. Impact: improved contributor visibility, streamlined onboarding for new collaborators, and a scalable approach for documenting team bios. Technologies/skills demonstrated: Markdown content creation, structured repo organization, and version-controlled documentation updates.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Apache SparkData AnalysisData EngineeringDocumentationJupyter NotebooksObject-Oriented ProgrammingPythonPython ScriptingSchema Definition
Repositories Contributed To
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