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
During two months on the pcamarillor/O2025_ESI3914O repository, Akanksha Krankaa developed end-to-end data engineering features focused on analytics, reproducibility, and onboarding. She built Python and Spark-based utilities for playlist analysis, data cleaning, and schema generation, enabling hands-on labs and reusable code assets. Her work included a BankAccount class with transaction tracking, a batch processing pipeline for urban traffic data using Spark and PostgreSQL, and integration of Neo4j and Kafka for big data workflows. By standardizing log schemas and establishing scalable ETL pipelines, Akanksha improved data accessibility and analytics readiness, demonstrating depth in Python, Apache Spark, and data warehousing.
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 people
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
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