electricitymaps/electricitymaps-contrib
May 2025 – May 2025
1 Month active
Languages Used
CSVPythonZIP
Technical Skills
API IntegrationData ParsingHistorical Data HandlingPandasPythonRequests
Christian Wassermann
PROFILE
Christian Wassermann
Worked on the electricitymaps-contrib repository to enhance historical data retrieval for the US-NY-NYIS zone, enabling access to data beyond the previous nine-day limit. Addressed the challenge of limited historical coverage by integrating zip archive extraction into the data ingestion workflow, allowing the parser to seamlessly handle both recent and older data sources. Utilized Python, Pandas, and the Requests library to implement robust data parsing and archive handling. Updated and expanded the test suite to ensure reliability across extended backfill scenarios, supporting improved data governance and analytics. The work focused on production and consumption forecast paths, strengthening dashboard and forecasting reliability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
6,175
Activity Months1
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered historical data backfill for the US-NY-NYIS zone in electricitymaps-contrib. Extended data retrieval beyond 9 days by pulling from zip archives, enabling longer historical coverage and smoother backfill for older dates. Updated the parser to handle both recent and historical data sources and refreshed tests to cover the extended workflow. This enhancement reduces historical data gaps, improving reliability for dashboards and forecasting models. Demonstrated strong data ingestion, archive-based retrieval, and test modernization skills, aligning with data governance and analytics needs.
1 Commits • 1 Features
May 1, 2025May 2025: Delivered historical data backfill for the US-NY-NYIS zone in electricitymaps-contrib. Extended data retrieval beyond 9 days by pulling from zip archives, enabling longer historical coverage and smoother backfill for older dates. Updated the parser to handle both recent and historical data sources and refreshed tests to cover the extended workflow. This enhancement reduces historical data gaps, improving reliability for dashboards and forecasting models. Demonstrated strong data ingestion, archive-based retrieval, and test modernization skills, aligning with data governance and analytics needs.
May 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPythonZIP
Technical Skills
API IntegrationData ParsingHistorical Data HandlingPandasPythonRequestsTestingZipfile
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline