Putnam-Lab/CBLS_Wetlab
Nov 2025 – Apr 2026
4 Months active
Languages Used
CSVNoneJavaScriptR
Technical Skills
Nonedata analysisdata managementaquatic systems managementenvironmental monitoringfront end development
MaggieMohs
PROFILE
Maggiemohs
Worked on the Putnam-Lab/CBLS_Wetlab repository, delivering features and fixes to enhance data quality, traceability, and collaboration in aquatic systems research. Focused on updating and maintaining CSV datasets for daily measurements and aquarium records, the developer improved data accuracy and reporting readiness through targeted data wrangling and quality assurance. Implemented a direct messaging system to streamline user communication and introduced metadata updates for better auditability. Leveraged JavaScript and R for data analysis and management tasks, applying robust version control practices to ensure reproducibility. Addressed data integrity issues and maintained clear commit histories, supporting reliable analytics and future dashboard development.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
15Total
Bugs
1
Commits
15
Features
6
Lines of code
16,173
Activity Months4
Your Network
22 peopleWork History
April 2026
3 Commits • 1 Features
Apr 1, 2026April 2026 CBLS_Wetlab monthly summary focused on data quality improvements and dataset maintenance. Key feature delivered: updates to the aquarium and daily measurements datasets to include new data entries, corrections, and adjustments to the tracking process, strengthening data accuracy for downstream analyses. Major bugs fixed: corrected inconsistencies across datasets (PAM_CBLS_Aquarium.csv, display_daily_measurements.csv, Daily_measurements_tracking.csv) to reduce data drift and improve reliability of analyses. Overall impact: higher data integrity enables more reliable analytics, supports better decision-making for experiments and reporting, and establishes a solid foundation for future dashboards and modeling. Technologies/skills demonstrated: data wrangling and quality assurance on CSV datasets, versioned changes with clear commits, and data governance practices that enable traceability and reproducibility.
3 Commits • 1 Features
Apr 1, 2026April 2026 CBLS_Wetlab monthly summary focused on data quality improvements and dataset maintenance. Key feature delivered: updates to the aquarium and daily measurements datasets to include new data entries, corrections, and adjustments to the tracking process, strengthening data accuracy for downstream analyses. Major bugs fixed: corrected inconsistencies across datasets (PAM_CBLS_Aquarium.csv, display_daily_measurements.csv, Daily_measurements_tracking.csv) to reduce data drift and improve reliability of analyses. Overall impact: higher data integrity enables more reliable analytics, supports better decision-making for experiments and reporting, and establishes a solid foundation for future dashboards and modeling. Technologies/skills demonstrated: data wrangling and quality assurance on CSV datasets, versioned changes with clear commits, and data governance practices that enable traceability and reproducibility.
April 2026
March 2026
5 Commits • 3 Features
Mar 1, 2026Month: 2026-03. This period focused on delivering features to improve collaboration, data collection, and traceability in Putnam-Lab/CBLS_Wetlab. Key features delivered include Direct Messages System for user-to-user communication; Daily Measurements Tracking Improvements adding new coral health and water quality data and updated CSV representations; and Metadata/Script-Run Record Updates to enhance traceability without code changes. No major bugs fixed this month. Overall impact: faster communication, more robust data capture, and improved auditability of data pipelines, supporting timely decision-making in wetlab activities. Technologies/skills demonstrated: backend feature development, CSV data schemas and exports, data traceability and script-run auditing, and lightweight metadata management.
March 2026
5 Commits • 3 Features
Mar 1, 2026Month: 2026-03. This period focused on delivering features to improve collaboration, data collection, and traceability in Putnam-Lab/CBLS_Wetlab. Key features delivered include Direct Messages System for user-to-user communication; Daily Measurements Tracking Improvements adding new coral health and water quality data and updated CSV representations; and Metadata/Script-Run Record Updates to enhance traceability without code changes. No major bugs fixed this month. Overall impact: faster communication, more robust data capture, and improved auditability of data pipelines, supporting timely decision-making in wetlab activities. Technologies/skills demonstrated: backend feature development, CSV data schemas and exports, data traceability and script-run auditing, and lightweight metadata management.
January 2026
2 Commits
Jan 1, 2026Concise monthly summary for Jan 2026 focusing on key achievements, primarily a targeted data integrity fix for daily measurements in the CBLS_Wetlab project. The work reinforces data quality, enables reliable daily analytics, and aligns data handling with revised measurement protocols, providing tangible business value through improved governance and trust in analytics.
2 Commits
Jan 1, 2026Concise monthly summary for Jan 2026 focusing on key achievements, primarily a targeted data integrity fix for daily measurements in the CBLS_Wetlab project. The work reinforces data quality, enables reliable daily analytics, and aligns data handling with revised measurement protocols, providing tangible business value through improved governance and trust in analytics.
January 2026
November 2025
5 Commits • 2 Features
Nov 1, 2025November 2025: Delivered key data-quality improvements and repo hygiene for Putnam-Lab/CBLS_Wetlab. Implemented daily measurements data tracking enhancements to ensure CSVs reflect the latest wet-lab results, improving data accuracy and readiness for reporting. Performed macOS .DS_Store cleanup to reduce noise in version control and tooling. No critical bugs fixed this period; focus was on data integrity and maintainability, enabling faster analytics and more reliable experiment dashboards.
November 2025
5 Commits • 2 Features
Nov 1, 2025November 2025: Delivered key data-quality improvements and repo hygiene for Putnam-Lab/CBLS_Wetlab. Implemented daily measurements data tracking enhancements to ensure CSVs reflect the latest wet-lab results, improving data accuracy and readiness for reporting. Performed macOS .DS_Store cleanup to reduce noise in version control and tooling. No critical bugs fixed this period; focus was on data integrity and maintainability, enabling faster analytics and more reliable experiment dashboards.
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage22.6%
Skills & Technologies
Programming Languages
CSVJavaScriptNoneR
Technical Skills
Noneaquatic systems managementdata analysisdata managementenvironmental monitoringfront end developmentfull stack development
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