Putnam-Lab/CBLS_Wetlab
Jun 2025 – Feb 2026
9 Months active
Languages Used
CSVMarkdownRPythonHTMLJavaScript
Technical Skills
Data EntryDocumentationData AnalysisData CleaningData LoggingData Management
Pooja
PROFILE
Pooja
Pooja Pednekar developed and maintained data management and automation pipelines for the Putnam-Lab/CBLS_Wetlab repository, focusing on wet-lab measurement tracking, calibration, and reporting. She engineered robust workflows using Python and JavaScript, integrating daily data ingestion, automated processing scripts, and visualization tools to improve data accuracy and operational efficiency. Her work included enhancements to the Data Management System, automated PDF and HTML report generation, and the implementation of reproducible data handling routines. By refining documentation and metadata, Pooja ensured traceability and compliance, delivering a scalable foundation for analytics and decision-making while reducing manual overhead and supporting reliable wet-lab operations.
Overall Statistics
Feature vs Bugs
95%Features
Repository Contributions
193Total
Bugs
3
Commits
193
Features
52
Lines of code
9,996
Activity Months9
Your Network
20 peopleSame Organization
@uri.edu8
Shared Repositories
12
Work History
February 2026
8 Commits • 2 Features
Feb 1, 20262026-02 Putnam-Lab/CBLS_Wetlab — Monthly summary focusing on business value and technical achievements. Key features delivered include Activity Data Enrichment and Visualization (consolidated updates to activity data handling and visualization, including new data structures, dataset expansion, activity tracking improvements, and a new HTML dosing plot) and Metadata/Script-Only updates to support reproducibility. No explicit major bugs fixed this month; the focus was on delivering robust data handling and visualization enhancements. Overall impact includes improved visibility into activity data, increased data integrity, and a solid foundation for stakeholder dashboards. Technologies demonstrated include Python-based data processing, data visualization, HTML plotting, dataset management, and automation/scripting for reproducibility.
8 Commits • 2 Features
Feb 1, 20262026-02 Putnam-Lab/CBLS_Wetlab — Monthly summary focusing on business value and technical achievements. Key features delivered include Activity Data Enrichment and Visualization (consolidated updates to activity data handling and visualization, including new data structures, dataset expansion, activity tracking improvements, and a new HTML dosing plot) and Metadata/Script-Only updates to support reproducibility. No explicit major bugs fixed this month; the focus was on delivering robust data handling and visualization enhancements. Overall impact includes improved visibility into activity data, increased data integrity, and a solid foundation for stakeholder dashboards. Technologies demonstrated include Python-based data processing, data visualization, HTML plotting, dataset management, and automation/scripting for reproducibility.
February 2026
January 2026
10 Commits • 1 Features
Jan 1, 2026In 2026-01, delivered the Wet-lab Data Tracking and Automated Processing Pipeline for CBLS_Wetlab. Key outcomes include: unified daily measurement data flow, updated data structures to support analytics, and automated scripts for data handling and DMS integration, leading to improved data accuracy, timeliness, and analytics readiness. No major bugs reported this month; minor data-handling tweaks were included in the pipeline. Overall, the work enhances reliability and speed of wet-lab data insights and supports downstream decision making.
January 2026
10 Commits • 1 Features
Jan 1, 2026In 2026-01, delivered the Wet-lab Data Tracking and Automated Processing Pipeline for CBLS_Wetlab. Key outcomes include: unified daily measurement data flow, updated data structures to support analytics, and automated scripts for data handling and DMS integration, leading to improved data accuracy, timeliness, and analytics readiness. No major bugs reported this month; minor data-handling tweaks were included in the pipeline. Overall, the work enhances reliability and speed of wet-lab data insights and supports downstream decision making.
December 2025
6 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary focused on CBLS_Wetlab automation and data management improvements. This period delivered significant feature enhancements to the Data Management System (DMS), wet lab automation scripting, and a new mechanism for tracking non-code-change script executions, collectively accelerating data processing, improving reproducibility, and reducing manual overhead.
6 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary focused on CBLS_Wetlab automation and data management improvements. This period delivered significant feature enhancements to the Data Management System (DMS), wet lab automation scripting, and a new mechanism for tracking non-code-change script executions, collectively accelerating data processing, improving reproducibility, and reducing manual overhead.
December 2025
November 2025
11 Commits • 3 Features
Nov 1, 2025November 2025 (Putnam-Lab/CBLS_Wetlab) focused on delivering robust data-layer improvements and enhancing data governance to support reliable wet-lab reporting. Key efforts included updating daily measurements tracking data sources, expanding the Data Management System (DMS) outputs with daily generation and new metrics, and addressing reliability in data processing. Documentation and metadata were refreshed to reflect the updated data model, ensuring traceability and compliance. The work combined data engineering, system optimization, and meticulous documentation to improve data accuracy, timeliness, and business visibility.
November 2025
11 Commits • 3 Features
Nov 1, 2025November 2025 (Putnam-Lab/CBLS_Wetlab) focused on delivering robust data-layer improvements and enhancing data governance to support reliable wet-lab reporting. Key efforts included updating daily measurements tracking data sources, expanding the Data Management System (DMS) outputs with daily generation and new metrics, and addressing reliability in data processing. Documentation and metadata were refreshed to reflect the updated data model, ensuring traceability and compliance. The work combined data engineering, system optimization, and meticulous documentation to improve data accuracy, timeliness, and business visibility.
October 2025
18 Commits • 4 Features
Oct 1, 2025Monthly summary for 2025-10 focused on CBLS_Wetlab repository (Putnam-Lab/CBLS_Wetlab). Delivered features to improve calibration accuracy, traceability, and operational visibility, with documentation and data-pipeline improvements that strengthen decision-making and readiness for audits.
18 Commits • 4 Features
Oct 1, 2025Monthly summary for 2025-10 focused on CBLS_Wetlab repository (Putnam-Lab/CBLS_Wetlab). Delivered features to improve calibration accuracy, traceability, and operational visibility, with documentation and data-pipeline improvements that strengthen decision-making and readiness for audits.
October 2025
September 2025
23 Commits • 9 Features
Sep 1, 2025September 2025 focused on stabilizing data workflows, expanding daily data coverage, and automating data presentation for CBLS_Wetlab. Delivered features include DMS maintenance and script execution automation; updates to Daily_measurements_tracking.csv and other tracking CSVs (Tris_Calibration.csv, DI_Water_usage_Tracking.csv, Salt_water_Usage_Tracking.csv), and Salt_water_Usage_Tracking.csv with corrections; added run/ran script and display data automation; and Coral_Plug_Cleaning_Protocol documentation update. The work strengthens data integrity, traceability, and operational visibility, enabling faster decision-making and more reliable audits.
September 2025
23 Commits • 9 Features
Sep 1, 2025September 2025 focused on stabilizing data workflows, expanding daily data coverage, and automating data presentation for CBLS_Wetlab. Delivered features include DMS maintenance and script execution automation; updates to Daily_measurements_tracking.csv and other tracking CSVs (Tris_Calibration.csv, DI_Water_usage_Tracking.csv, Salt_water_Usage_Tracking.csv), and Salt_water_Usage_Tracking.csv with corrections; added run/ran script and display data automation; and Coral_Plug_Cleaning_Protocol documentation update. The work strengthens data integrity, traceability, and operational visibility, enabling faster decision-making and more reliable audits.
August 2025
18 Commits • 4 Features
Aug 1, 2025August 2025 for Putnam-Lab/CBLS_Wetlab delivered data-driven calibration improvements, robust daily data ingestion and cleanup, and refreshed reporting outputs, delivering tangible business value through more accurate measurements, reliable data, and reproducible PDFs. Key outcomes include (1) enhanced Tris calibration with updated Tris_Calibration.csv, (2) improved daily measurements ingestion and data quality, (3) cleaned and enriched daily measurements display with a new Notes column, and (4) regenerated PDF reports including dKH relationships for stakeholders.
18 Commits • 4 Features
Aug 1, 2025August 2025 for Putnam-Lab/CBLS_Wetlab delivered data-driven calibration improvements, robust daily data ingestion and cleanup, and refreshed reporting outputs, delivering tangible business value through more accurate measurements, reliable data, and reproducible PDFs. Key outcomes include (1) enhanced Tris calibration with updated Tris_Calibration.csv, (2) improved daily measurements ingestion and data quality, (3) cleaned and enriched daily measurements display with a new Notes column, and (4) regenerated PDF reports including dKH relationships for stakeholders.
August 2025
July 2025
93 Commits • 24 Features
Jul 1, 2025July 2025 summary for Putnam-Lab/CBLS_Wetlab: Focused on strengthening data reliability, traceability, and readiness for the upcoming release cycle by delivering core data-management improvements, tracking enhancements, and documentation updates. Key deliverables include DM/DMS date handling and workflow refinements, Tris calendar date updates with headers prepared for 0708, and a refreshed Daily_measurements_tracking.csv aligning with the latest measurements. Additionally, data quality was improved by fixing a missing dKH value, and the knowledge base was expanded with extensive README updates and the new Tank Systems Information file. Visualization and automation work (TA plotting, map integration groundwork, and automation scripts) laid the groundwork for faster insights and repeatable analytics.
July 2025
93 Commits • 24 Features
Jul 1, 2025July 2025 summary for Putnam-Lab/CBLS_Wetlab: Focused on strengthening data reliability, traceability, and readiness for the upcoming release cycle by delivering core data-management improvements, tracking enhancements, and documentation updates. Key deliverables include DM/DMS date handling and workflow refinements, Tris calendar date updates with headers prepared for 0708, and a refreshed Daily_measurements_tracking.csv aligning with the latest measurements. Additionally, data quality was improved by fixing a missing dKH value, and the knowledge base was expanded with extensive README updates and the new Tank Systems Information file. Visualization and automation work (TA plotting, map integration groundwork, and automation scripts) laid the groundwork for faster insights and repeatable analytics.
June 2025
6 Commits • 2 Features
Jun 1, 2025Month: 2025-06 — CBLS_Wetlab (Putnam-Lab/CBLS_Wetlab): Key features delivered focused on documentation hygiene and data integrity. Major bugs fixed: none identified this month. Impact: improved operational reliability, faster onboarding for wetlab technicians, and up-to-date calibration data for downstream analyses. Technologies/skills demonstrated include Git-based version control, documentation best practices, data curation, protocol link validation, and formatting for maintainability.
6 Commits • 2 Features
Jun 1, 2025Month: 2025-06 — CBLS_Wetlab (Putnam-Lab/CBLS_Wetlab): Key features delivered focused on documentation hygiene and data integrity. Major bugs fixed: none identified this month. Impact: improved operational reliability, faster onboarding for wetlab technicians, and up-to-date calibration data for downstream analyses. Technologies/skills demonstrated include Git-based version control, documentation best practices, data curation, protocol link validation, and formatting for maintainability.
June 2025
Activity
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Quality Metrics
Correctness90.4%
Maintainability90.8%
Architecture88.0%
Performance88.8%
AI Usage20.8%
Skills & Technologies
Programming Languages
CSVHTMLJavaScriptMarkdownPythonR
Technical Skills
Data AnalysisData CleaningData EntryData LoggingData ManagementData TrackingDocumentationDocumentation ManagementExperimental TrackingJavaScriptPythonPython programmingPython scriptingRecord KeepingSafety Procedures
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