Planning-Inspectorate/odw-synapse-workspace
Jul 2025 – Jan 2026
5 Months active
Languages Used
PythonSQLJSON
Technical Skills
Data AnalysisData EngineeringETLNotebook DevelopmentPipeline ManagementSQL
BandlamudiNaveen
PROFILE
Bandlamudinaveen
Naveen Bandlamudi contributed to the Planning-Inspectorate/odw-synapse-workspace repository by delivering targeted data governance and pipeline improvements over a two-month period. He enhanced the NSIPProject dataset’s metadata, improving management and discoverability without altering code, which strengthened data stewardship and catalog alignment. Using Python and SQL, Naveen corrected notebook content for appeal_event_curated_mipins to ensure data accuracy and reliability, and upgraded the pln_copy_nsip_project_to_mipins pipeline to streamline data transfer and processing. His work emphasized robust change traceability through Git and issue tracking, demonstrating disciplined data engineering, ETL, and pipeline management practices that reduced downstream errors and improved maintainability across the workflow.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
6
Lines of code
344
Activity Months5
Your Network
61 peopleSame Organization
@planninginspectorate.gov.uk48
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for Planning-Inspectorate/odw-synapse-workspace focusing on delivering data-driven autotuning improvements and maintaining robust data pipelines.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for Planning-Inspectorate/odw-synapse-workspace focusing on delivering data-driven autotuning improvements and maintaining robust data pipelines.
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace. Key features delivered: MI Pins Data Flow Enhancement, introducing new group B attributes for full adverts to improve data detail and processing accuracy. Major bugs fixed: none reported this month. Overall impact and accomplishments: enhanced data fidelity for MI pins supports more accurate analytics, better campaign insights, and faster reporting cycles. Technologies/skills demonstrated: data modeling, notebook-based data pipelines, version control, and collaboration across data science and analytics teams. Business value: higher-quality data reduces manual corrections, improves decision-making, and accelerates time-to-insight.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace. Key features delivered: MI Pins Data Flow Enhancement, introducing new group B attributes for full adverts to improve data detail and processing accuracy. Major bugs fixed: none reported this month. Overall impact and accomplishments: enhanced data fidelity for MI pins supports more accurate analytics, better campaign insights, and faster reporting cycles. Technologies/skills demonstrated: data modeling, notebook-based data pipelines, version control, and collaboration across data science and analytics teams. Business value: higher-quality data reduces manual corrections, improves decision-making, and accelerates time-to-insight.
November 2025
2 Commits • 2 Features
Nov 1, 2025This month focused on delivering data-processing enhancements and stable data pipelines in Planning-Inspectorate/odw-synapse-workspace to improve data accuracy, filtering, and performance for appeals management. Key notebook updates and api-query improvements reduce data processing errors, increase traceability via tracking IDs, and strengthen downstream reporting reliability. No critical bugs were reported; the emphasis was on feature delivery, data quality, and maintainable notebook-based ETL.
2 Commits • 2 Features
Nov 1, 2025This month focused on delivering data-processing enhancements and stable data pipelines in Planning-Inspectorate/odw-synapse-workspace to improve data accuracy, filtering, and performance for appeals management. Key notebook updates and api-query improvements reduce data processing errors, increase traceability via tracking IDs, and strengthen downstream reporting reliability. No critical bugs were reported; the emphasis was on feature delivery, data quality, and maintainable notebook-based ETL.
November 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace: Focused on improving data integrity and pipeline reliability in the odw-synapse-workspace project. Achievements include notebook content corrections for appeal_event_curated_mipins to ensure accuracy and a data pipeline enhancement for pln_copy_nsip_project_to_mipins to improve data transfer and processing in line with requirements. These deliverables reduce risk of incorrect appeals data, accelerate data movement, and improve maintainability and visibility into changes via issue tracking and Git history.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace: Focused on improving data integrity and pipeline reliability in the odw-synapse-workspace project. Achievements include notebook content corrections for appeal_event_curated_mipins to ensure accuracy and a data pipeline enhancement for pln_copy_nsip_project_to_mipins to improve data transfer and processing in line with requirements. These deliverables reduce risk of incorrect appeals data, accelerate data movement, and improve maintainability and visibility into changes via issue tracking and Git history.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary focused on deliveries of data governance improvements within the Planning-Inspectorate/odw-synapse-workspace. Delivered a data-only update to NSIPProject dataset metadata to improve management, searchability, and discoverability without code changes, reinforcing dataset stewardship.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary focused on deliveries of data governance improvements within the Planning-Inspectorate/odw-synapse-workspace. Delivered a data-only update to NSIPProject dataset metadata to improve management, searchability, and discoverability without code changes, reinforcing dataset stewardship.
July 2025
Activity
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Quality Metrics
Correctness74.2%
Maintainability74.2%
Architecture74.2%
Performance74.2%
AI Usage28.6%
Skills & Technologies
Programming Languages
JSONPythonSQL
Technical Skills
Data AnalysisData EngineeringETLNotebook DevelopmentPipeline ManagementSQLdata analysisdata engineeringdatabase management
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