
Pooja Pednekar contributed to the Putnam-Lab/CBLS_Wetlab repository by building and refining data management workflows that improved calibration accuracy, daily measurement reliability, and operational traceability. She implemented robust data ingestion and cleaning routines using R and CSV, automated reporting pipelines, and enhanced documentation in Markdown to support onboarding and audit readiness. Her work included updating calibration datasets, automating script execution for data presentation, and expanding protocol documentation to clarify safety and troubleshooting procedures. By integrating data tracking and visualization features, Pooja enabled faster insights and reproducible analytics, demonstrating depth in data curation, technical writing, and workflow automation over five months.

Monthly 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.
Monthly 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.
September 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 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 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 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.
July 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 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.
Month: 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.
Month: 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.
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