Roberta Hunt
Data Scientist
Copenhagen, Capital Region of Denmark
Summary
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RockstarRoberta Hunt is a data scientist based in Copenhagen with eight years of experience turning messy, real‑world datasets into reliable analytical pipelines. She has hands‑on expertise as a data engineer contributor to the well-known Electricity Maps project, where she refactored parsers, extended data coverage, and solved edge cases like inconsistent timestamps and negative values to improve real‑time CO2 visualizations. Comfortable bridging data engineering and analytical modeling, she focuses on robustness and accuracy in time‑series energy data. Colleagues would describe her as pragmatic and detail‑oriented, able to anticipate format changes and adapt systems quickly. Her mix of production‑grade coding and domain knowledge in electricity data makes her effective at delivering actionable, trustworthy insights for sustainability applications.
8 years of coding experience
Github Skills (11)
pandas10
data-validation10
data-parsing10
python10
electricity10
data-integration10
data-engineering10
data-visualisation9
data-visualization9
data-visualizations9
climate-change8
Programming languages (4)
Github contributions (5)
electricitymaps/electricitymaps-contrib
Jan 2020 - Mar 2020
The open source repository for Electricity Maps App and data parsers that enables a real-time visualisation of the CO2 emissions of electricity consumption
Role in this project:
Data Engineer
Data EngineerContributions:15 commits, 174 PRs, 207 pushes in 2 months
Contributions summary:Roberta primarily contributed to the project by modifying and extending the data parsing capabilities of the `electricitymaps-contrib` repository. They refactored existing parsers (e.g., US_SPP.py, EIA.py) to handle data inconsistencies, including fixing column naming errors, adjusting timestamp formats, and implementing logic to handle negative values. Furthermore, they added new data sources and balancing authorities to the EIA parser, demonstrating a focus on expanding data coverage and accuracy within the real-time electricity data visualization project. A significant portion of their work involved adapting the system to new data formats and edge cases.
real-timeelectricity-consumptionvisualisationco2-emissionsemissions
robertahunt/Revisiting_Deep_Metric_Learning_PyTorch
Jun 2022 - Nov 2024
Contributions:159 pushes in 2 years 5 months
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