data-hydenv/data
Jan 2025 – Feb 2025
2 Months active
Languages Used
CSV
Technical Skills
Data AnalysisData CleaningData EngineeringData FormattingData Management
naomi-wb
PROFILE
Naomi-wb
Naomi Wisemanb worked on the data-hydenv/data repository, focusing on onboarding and migrating core environmental sensor datasets to improve data completeness and reliability. She implemented a repeatable ETL workflow for CSV-based time-series data, aligning structures, supporting migrations, and performing data cleaning to enhance quality and consistency. Naomi expanded monitoring coverage by integrating supplementary datasets and the 2025 hourly dataset, ensuring robust data management and reproducibility through organized commit trails. In February, she addressed data integrity by correcting timestamp errors, reducing downstream analytics risk. Her work demonstrated strong skills in data engineering, data formatting, and data quality management using CSV workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
2
Lines of code
181,017
Activity Months2
Your Network
46 peopleWork History
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary for data-hydenv/data: Focused on data quality improvements to support reliable downstream analytics.
1 Commits
Feb 1, 2025February 2025 monthly summary for data-hydenv/data: Focused on data quality improvements to support reliable downstream analytics.
February 2025
January 2025
13 Commits • 2 Features
Jan 1, 2025Month: 2025-01 — Key features delivered this month include onboarding and migrating the core environmental sensor dataset (ID 10347322). This involved adding 10347322.csv, aligning data structure, supporting migrations/backups, and performing data updates and cleanup to improve quality and consistency. Expanded data coverage by onboarding supplementary datasets (10234653.csv, 10347344.csv) and the 2025 hourly dataset (78530499), broadening monitoring capabilities. No major bugs reported; repository health maintained. Overall impact includes improved data completeness and reliability, enabling more accurate analytics and faster downstream reporting. Technologies/skills demonstrated include data onboarding/ETL, time-series data handling, data quality management, backups/versioning, and solid repo hygiene.
January 2025
13 Commits • 2 Features
Jan 1, 2025Month: 2025-01 — Key features delivered this month include onboarding and migrating the core environmental sensor dataset (ID 10347322). This involved adding 10347322.csv, aligning data structure, supporting migrations/backups, and performing data updates and cleanup to improve quality and consistency. Expanded data coverage by onboarding supplementary datasets (10234653.csv, 10347344.csv) and the 2025 hourly dataset (78530499), broadening monitoring capabilities. No major bugs reported; repository health maintained. Overall impact includes improved data completeness and reliability, enabling more accurate analytics and faster downstream reporting. Technologies/skills demonstrated include data onboarding/ETL, time-series data handling, data quality management, backups/versioning, and solid repo hygiene.
Activity
Loading activity data...
Quality Metrics
Correctness91.6%
Maintainability91.6%
Architecture82.8%
Performance91.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSV
Technical Skills
Data AnalysisData CleaningData EngineeringData FormattingData Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline