pcamarillor/O2025_ESI3914O
Sep 2025 – Oct 2025
2 Months active
Languages Used
Jupyter NotebookPythonSQLJSON
Technical Skills
Apache SparkBig DataCounterData AnalysisData CleaningData Engineering
Arantxa Angulo
PROFILE
Arantxa Angulo
Over a two-month period, contributed to the pcamarillor/O2025_ESI3914O repository by developing five new features focused on data engineering and analytics workflows. Built end-to-end solutions including a playlist analysis utility, a BankAccount class with transaction tracking, and a batch processing pipeline for urban traffic data. Leveraged Python, Apache Spark, and PostgreSQL to implement data ingestion, cleaning, transformation, and reporting, emphasizing reproducibility and hands-on learning through Jupyter Notebooks. Enhanced data accessibility and analytics readiness by standardizing log schemas and integrating Neo4j and Kafka. Prioritized code quality and reusable utilities, establishing scalable foundations for big data processing and developer onboarding.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
5
Lines of code
8,293
Activity Months2
Your Network
15 peopleShared Repositories
15
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Renata TejedaMember
EduNav04Member
thexavirooMember
perrionskyMember
Juan LópezMember
luci-efeMember
danielarellMember
Luis GonzalezMember
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025Performance summary for Oct 2025 (pcamarillor/O2025_ESI3914O): Delivered two major features and established repeatable data processing foundations that directly enhance data accessibility, analytics readiness, and developer onboarding. The work emphasizes scalable data pipelines, hands-on learning assets, and improved data quality controls to drive faster business insights.
4 Commits • 2 Features
Oct 1, 2025Performance summary for Oct 2025 (pcamarillor/O2025_ESI3914O): Delivered two major features and established repeatable data processing foundations that directly enhance data accessibility, analytics readiness, and developer onboarding. The work emphasizes scalable data pipelines, hands-on learning assets, and improved data quality controls to drive faster business insights.
October 2025
September 2025
7 Commits • 3 Features
Sep 1, 2025September 2025 Monthly Summary — pcamarillor/O2025_ESI3914O Overview: Delivered end-to-end feature projects across three notebooks and labs, enabling data analysis, big data processing, and practical finance tooling. Focused on building reusable utilities, improving reproducibility, and expanding hands-on learning assets. No major bugs reported in this period; efforts were aligned with feature delivery and code quality improvements.
September 2025
7 Commits • 3 Features
Sep 1, 2025September 2025 Monthly Summary — pcamarillor/O2025_ESI3914O Overview: Delivered end-to-end feature projects across three notebooks and labs, enabling data analysis, big data processing, and practical finance tooling. Focused on building reusable utilities, improving reproducibility, and expanding hands-on learning assets. No major bugs reported in this period; efforts were aligned with feature delivery and code quality improvements.
Activity
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Quality Metrics
Correctness83.6%
Maintainability82.6%
Architecture79.2%
Performance78.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPythonSQL
Technical Skills
Apache SparkBatch ProcessingBig DataCounterData AnalysisData CleaningData EngineeringData TransformationData WarehousingDictionary OperationsETLJSON ProcessingJupyter NotebookJupyter NotebooksKafka
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline