Putnam-Lab/CBLS_Wetlab
Oct 2024 – May 2026
16 Months active
Languages Used
CSVMarkdownRCSSHTMLPythonNone
Technical Skills
Data ManagementData VisualizationData AnalysisData CleaningData EntryData Formatting
Zoe Dellaert
PROFILE
Zoe Dellaert
Worked extensively on the Putnam-Lab/CBLS_Wetlab repository, delivering robust data management and reporting solutions for laboratory operations. Developed and maintained automated pipelines for daily measurements, integrating CSV data processing, R scripting, and data visualization to ensure accurate, up-to-date analytics. Enhanced reporting workflows by standardizing time formats, expanding nutrient and titration data analysis, and implementing dynamic date-range filtering for nutrient dosing plots. Improved documentation and protocol clarity through Markdown and HTML updates, while maintaining auditability with disciplined version control. Leveraged skills in R, Python, and CSS to streamline scientific computing, automate reporting, and support reliable, decision-ready laboratory insights.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
62Total
Bugs
7
Commits
62
Features
23
Lines of code
25,062
Activity Months16
Your Network
12 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for Putnam-Lab/CBLS_Wetlab focused on delivering a targeted data-visualization feature that enhances nutrient dosing analysis. Key feature: Dynamic Date-Range Nutrient Visualization enabling date-range filtering to plot nutrient dosing over the past month. Major artifacts include a single commit that both implements the feature and fixes plotting issues: f35416d44f755958c74eefa3b689286439b0abc9 ("DMs and fixed nutrient plots"). Overall impact: more relevant visuals, faster insights for nutrient management, and groundwork for future analytics. Technologies/skills demonstrated: data filtering logic, visualization implementation, and disciplined version control with clear commit messages.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for Putnam-Lab/CBLS_Wetlab focused on delivering a targeted data-visualization feature that enhances nutrient dosing analysis. Key feature: Dynamic Date-Range Nutrient Visualization enabling date-range filtering to plot nutrient dosing over the past month. Major artifacts include a single commit that both implements the feature and fixes plotting issues: f35416d44f755958c74eefa3b689286439b0abc9 ("DMs and fixed nutrient plots"). Overall impact: more relevant visuals, faster insights for nutrient management, and groundwork for future analytics. Technologies/skills demonstrated: data filtering logic, visualization implementation, and disciplined version control with clear commit messages.
May 2026
April 2026
4 Commits • 2 Features
Apr 1, 2026Monthly work summary for 2026-04 focused on delivering nutrient data analysis enhancements for daily measurements, introducing a new nutrient summary reporting file, and streamlining the repository for CBLS_Wetlab. This period prioritized data quality, reproducibility, and actionable reporting to support operational decisions.
April 2026
4 Commits • 2 Features
Apr 1, 2026Monthly work summary for 2026-04 focused on delivering nutrient data analysis enhancements for daily measurements, introducing a new nutrient summary reporting file, and streamlining the repository for CBLS_Wetlab. This period prioritized data quality, reproducibility, and actionable reporting to support operational decisions.
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 summary for Putnam-Lab/CBLS_Wetlab. Delivered two core features that enable improved monitoring and automated workflows. Lab Data Visualization and Management for Salinity and Temperature provides updated data handling and plots; observed a temperature drop with salinity stabilizing by 5 PM, informing operational decisions. Script Execution Feature for CBLS Wetlab Workflow Automation enables direct script runs to streamline laboratory processes and reduce manual steps. No major bugs fixed this month; minor improvements are captured in commits. Technologies demonstrated include data visualization, data management, scripting/automation, and end-to-end traceability. Overall impact: increased operational visibility, reduced manual effort, and a solid foundation for future automation.
2 Commits • 2 Features
Mar 1, 2026March 2026 summary for Putnam-Lab/CBLS_Wetlab. Delivered two core features that enable improved monitoring and automated workflows. Lab Data Visualization and Management for Salinity and Temperature provides updated data handling and plots; observed a temperature drop with salinity stabilizing by 5 PM, informing operational decisions. Script Execution Feature for CBLS Wetlab Workflow Automation enables direct script runs to streamline laboratory processes and reduce manual steps. No major bugs fixed this month; minor improvements are captured in commits. Technologies demonstrated include data visualization, data management, scripting/automation, and end-to-end traceability. Overall impact: increased operational visibility, reduced manual effort, and a solid foundation for future automation.
March 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — Delivered the Advanced Data Plotting and Visualization feature for Putnam-Lab/CBLS_Wetlab, equipping researchers with enhanced plotting capabilities to visualize experimental data and drive data-informed decisions. Implemented via commit 4518556e528ec40d007a3f18302202c1785d5854 (message: plots), integrating plotting routines with existing workflows. No major bugs fixed this month; focus was on robust visualization delivery with low risk. Overall impact: faster insight generation, improved analytical capabilities for data interpretation, and strengthened research decision support. Technologies/skills demonstrated: data visualization, plotting libraries, feature integration into an existing codebase, version control practices and incremental feature delivery.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — Delivered the Advanced Data Plotting and Visualization feature for Putnam-Lab/CBLS_Wetlab, equipping researchers with enhanced plotting capabilities to visualize experimental data and drive data-informed decisions. Implemented via commit 4518556e528ec40d007a3f18302202c1785d5854 (message: plots), integrating plotting routines with existing workflows. No major bugs fixed this month; focus was on robust visualization delivery with low risk. Overall impact: faster insight generation, improved analytical capabilities for data interpretation, and strengthened research decision support. Technologies/skills demonstrated: data visualization, plotting libraries, feature integration into an existing codebase, version control practices and incremental feature delivery.
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10: Focused on delivering up-to-date daily metrics visuals for the CBLS_Wetlab repository. No code changes were required; the update was limited to regenerating and replacing visualization PDFs to reflect current data.
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10: Focused on delivering up-to-date daily metrics visuals for the CBLS_Wetlab repository. No code changes were required; the update was limited to regenerating and replacing visualization PDFs to reflect current data.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025Summary for September 2025: In the CBLS_Wetlab workstream, the focus was on enhancing daily measurements reporting to improve data quality, visibility, and decision-support. Key changes include adding titration data to CSV exports, improving readability of time-series visualizations, and refining the data quality by adjusting the daily temperature upper threshold. All changes were implemented in Putnam-Lab/CBLS_Wetlab and validated via targeted script runs. No major bugs were reported this month.
September 2025
2 Commits • 1 Features
Sep 1, 2025Summary for September 2025: In the CBLS_Wetlab workstream, the focus was on enhancing daily measurements reporting to improve data quality, visibility, and decision-support. Key changes include adding titration data to CSV exports, improving readability of time-series visualizations, and refining the data quality by adjusting the daily temperature upper threshold. All changes were implemented in Putnam-Lab/CBLS_Wetlab and validated via targeted script runs. No major bugs were reported this month.
July 2025
5 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Putnam-Lab/CBLS_Wetlab highlighting data pipeline updates and quality improvements. Delivered data updates for the July 2025 period and refreshed reporting outputs to ensure decision-ready insights. Focused on completeness, accuracy, and auditability of measurement data and associated PDFs/plots.
5 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Putnam-Lab/CBLS_Wetlab highlighting data pipeline updates and quality improvements. Delivered data updates for the July 2025 period and refreshed reporting outputs to ensure decision-ready insights. Focused on completeness, accuracy, and auditability of measurement data and associated PDFs/plots.
July 2025
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 focused on tightening data quality, analytics capabilities, and reporting for CBLS_Wetlab. Delivered TA data integration and analytics enhancements, including a new conductivity calibration data file, updated PDFs, and a dedicated TA data visualization script to streamline analysis and reporting. Fixed data quality issues in Daily_measurements_tracking.csv through time and numeric corrections, cleaned unused code, and standardized output naming for the TA_dKH plot. These efforts improved data accuracy, reporting reliability, and the speed of insights for TA metrics and daily measurements.
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 focused on tightening data quality, analytics capabilities, and reporting for CBLS_Wetlab. Delivered TA data integration and analytics enhancements, including a new conductivity calibration data file, updated PDFs, and a dedicated TA data visualization script to streamline analysis and reporting. Fixed data quality issues in Daily_measurements_tracking.csv through time and numeric corrections, cleaned unused code, and standardized output naming for the TA_dKH plot. These efforts improved data accuracy, reporting reliability, and the speed of insights for TA metrics and daily measurements.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly results for Putnam-Lab/CBLS_Wetlab focused on standardizing daily measurements formatting and expanding reporting to improve data quality, presentation, and timeliness of wet-lab tracking. Key features delivered include standardizing time formatting across daily measurements with updated plots and data exports for consistency, and expanding reporting with new May 15, 2025 data plus refreshed TA and Tris Calibration data and PDFs/reports.
5 Commits • 2 Features
May 1, 2025May 2025 monthly results for Putnam-Lab/CBLS_Wetlab focused on standardizing daily measurements formatting and expanding reporting to improve data quality, presentation, and timeliness of wet-lab tracking. Key features delivered include standardizing time formatting across daily measurements with updated plots and data exports for consistency, and expanding reporting with new May 15, 2025 data plus refreshed TA and Tris Calibration data and PDFs/reports.
May 2025
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary: Focused on delivering key reporting and lab documentation enhancements in Putnam-Lab/CBLS_Wetlab. Implemented Daily Measurements Reports Update with cross-period PDF plots and time-format standardization; updated Pump Cleaning Protocol Documentation with a new protocol and media handling improvements. No major bugs reported this month. The changes improve data accuracy, reporting timeliness, SOP clarity, and maintenance efficiency.
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary: Focused on delivering key reporting and lab documentation enhancements in Putnam-Lab/CBLS_Wetlab. Implemented Daily Measurements Reports Update with cross-period PDF plots and time-format standardization; updated Pump Cleaning Protocol Documentation with a new protocol and media handling improvements. No major bugs reported this month. The changes improve data accuracy, reporting timeliness, SOP clarity, and maintenance efficiency.
March 2025
6 Commits • 1 Features
Mar 1, 2025Monthly work summary for 2025-03 focusing on the Putnam-Lab CBLS_Wetlab repository. Delivered Total Alkalinity (TA) integration into daily measurements, updated TA plots and data loading across daily, 6-month, and 1-month views, refreshed TA-related outputs, and standardized time-series data quality fixes. Improved data reliability and reporting readiness for TA analytics, enabling better operational oversight of water chemistry.
6 Commits • 1 Features
Mar 1, 2025Monthly work summary for 2025-03 focusing on the Putnam-Lab CBLS_Wetlab repository. Delivered Total Alkalinity (TA) integration into daily measurements, updated TA plots and data loading across daily, 6-month, and 1-month views, refreshed TA-related outputs, and standardized time-series data quality fixes. Improved data reliability and reporting readiness for TA analytics, enabling better operational oversight of water chemistry.
March 2025
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for Putnam-Lab/CBLS_Wetlab. Focused on delivering refreshed daily measurements reporting, improving report presentation, and correcting data quality issues to enhance data reliability and decision support.
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for Putnam-Lab/CBLS_Wetlab. Focused on delivering refreshed daily measurements reporting, improving report presentation, and correcting data quality issues to enhance data reliability and decision support.
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 achieved significant improvements in data integrity, analytics coverage, and reporting for the CBLS_Wetlab pipeline. Key features delivered include the calcium data integration to daily measurements analysis with finalized CA values, along with the corresponding updates to data processing and plotting to reflect calcium data and a past-six-month filtering logic.
4 Commits • 1 Features
Jan 1, 2025January 2025 achieved significant improvements in data integrity, analytics coverage, and reporting for the CBLS_Wetlab pipeline. Key features delivered include the calcium data integration to daily measurements analysis with finalized CA values, along with the corresponding updates to data processing and plotting to reflect calcium data and a past-six-month filtering logic.
January 2025
December 2024
8 Commits • 2 Features
Dec 1, 2024December 2024 performance summary for Putnam-Lab/CBLS_Wetlab. Key features delivered: Daily Measurements Data Integrity and Reporting Enhancements (time standardization, new data entries, updated charts/reports) and Coral Shipping Protocol Documentation Cleanups (image path fixes, removal of frontmatter metadata). Major bugs fixed: no high-severity defects closed; data-consistency issues addressed within the feature work. Overall impact: higher reliability and clarity of daily metrics, faster, more accurate dashboards, and leaner, easier-to-maintain documentation. Technologies/skills demonstrated: data engineering and time-series normalization, data visualization updates, and documentation hygiene via Git commits.
December 2024
8 Commits • 2 Features
Dec 1, 2024December 2024 performance summary for Putnam-Lab/CBLS_Wetlab. Key features delivered: Daily Measurements Data Integrity and Reporting Enhancements (time standardization, new data entries, updated charts/reports) and Coral Shipping Protocol Documentation Cleanups (image path fixes, removal of frontmatter metadata). Major bugs fixed: no high-severity defects closed; data-consistency issues addressed within the feature work. Overall impact: higher reliability and clarity of daily metrics, faster, more accurate dashboards, and leaner, easier-to-maintain documentation. Technologies/skills demonstrated: data engineering and time-series normalization, data visualization updates, and documentation hygiene via Git commits.
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024-11: Focused on stabilizing the measurements data pipeline for Putnam-Lab/CBLS_Wetlab, expanding reporting coverage, and keeping TA metrics current. Delivered data quality improvements, updated datasets, and refreshed key reports to drive faster, more reliable decision-making.
6 Commits • 2 Features
Nov 1, 2024November 2024-11: Focused on stabilizing the measurements data pipeline for Putnam-Lab/CBLS_Wetlab, expanding reporting coverage, and keeping TA metrics current. Delivered data quality improvements, updated datasets, and refreshed key reports to drive faster, more reliable decision-making.
November 2024
October 2024
2 Commits • 1 Features
Oct 1, 20242024-10 monthly summary for Putnam-Lab/CBLS_Wetlab: Delivered the Daily Measurements Reports Refresh and Data Update feature to ensure up-to-date visuals and accurate daily analytics. Regen PDFs (Daily_Measurements.pdf and Daily_Measurements_Past_Month.pdf) and update CBLS_Aquarium_TA.csv with Oct 31, 2024 entries to support reliable plots and dashboards. This work improves data integrity, reduces manual refresh overhead, and strengthens decision-ready reporting for daily operations.
October 2024
2 Commits • 1 Features
Oct 1, 20242024-10 monthly summary for Putnam-Lab/CBLS_Wetlab: Delivered the Daily Measurements Reports Refresh and Data Update feature to ensure up-to-date visuals and accurate daily analytics. Regen PDFs (Daily_Measurements.pdf and Daily_Measurements_Past_Month.pdf) and update CBLS_Aquarium_TA.csv with Oct 31, 2024 entries to support reliable plots and dashboards. This work improves data integrity, reduces manual refresh overhead, and strengthens decision-ready reporting for daily operations.
Activity
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Quality Metrics
Correctness83.2%
Maintainability83.2%
Architecture74.8%
Performance75.4%
AI Usage21.0%
Skills & Technologies
Programming Languages
CSSCSVHTMLMarkdownNonePythonR
Technical Skills
CSSCSV ManipulationCSV ProcessingData AnalysisData CleaningData EntryData FormattingData ManagementData VisualizationData WranglingDocumentationFront-end DevelopmentHTMLPythonR
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