MTES-MCT/ecobalyse
Dec 2024 – Feb 2026
15 Months active
Languages Used
ElmHTMLJavaScriptMakefilePythonJSONShellYAML
Technical Skills
Backend DevelopmentCode RefactoringCode StandardizationData EngineeringData ProcessingFrontend Development
paulboosz
PROFILE
Paulboosz
Paul Boosz developed and maintained the MTES-MCT/ecobalyse platform over 15 months, delivering features that enhanced environmental data modeling, export reliability, and cross-domain process management. He implemented robust backend and frontend solutions using Python, Elm, and JavaScript, focusing on data integrity, API consistency, and modular architecture. His work included refactoring data models for UUID-based identification, integrating forest and packaging analytics, and standardizing environmental impact calculations. By automating CI/CD pipelines and improving test coverage, Paul ensured stable releases and maintainable code. His engineering approach emphasized clarity, traceability, and business value, resulting in a scalable, analytics-ready system for lifecycle assessment.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
69Total
Bugs
11
Commits
69
Features
35
Lines of code
1,214,388
Activity Months15
Work History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 performance summary for MTES-MCT/ecobalyse. Focused on clarifying product identification and expanding environmental data modeling. Delivered two features with direct business value and prepared groundwork for future analytics.
2 Commits • 2 Features
Feb 1, 2026February 2026 performance summary for MTES-MCT/ecobalyse. Focused on clarifying product identification and expanding environmental data modeling. Delivered two features with direct business value and prepared groundwork for future analytics.
February 2026
January 2026
6 Commits • 3 Features
Jan 1, 2026January 2026 performance for MTES-MCT/ecobalyse: Delivered core enhancements to packaging and material data, improved UI usability for the food comparator, and fixed a key bug affecting detailed impacts processing. These changes strengthen data quality for lifecycle assessments, enhance calculation accuracy, and improve user workflows.
January 2026
6 Commits • 3 Features
Jan 1, 2026January 2026 performance for MTES-MCT/ecobalyse: Delivered core enhancements to packaging and material data, improved UI usability for the food comparator, and fixed a key bug affecting detailed impacts processing. These changes strengthen data quality for lifecycle assessments, enhance calculation accuracy, and improve user workflows.
December 2025
6 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for MTES-MCT/ecobalyse: Delivered data quality fixes for export data and product visibility, and completed ecological data model enhancements with naming consistency. These efforts improved data integrity for exports, corrected dataset inaccuracies by filtering out incorrect beef products, standardized unit handling for wood processes, introduced new ecological fields (e.g., livestock density, permanent pasture), and aligned the database schema and naming conventions. The work reduces downstream data corrections, supports better analytics and reporting, and lays groundwork for scalable data capture, dashboards, and compliance.
6 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for MTES-MCT/ecobalyse: Delivered data quality fixes for export data and product visibility, and completed ecological data model enhancements with naming consistency. These efforts improved data integrity for exports, corrected dataset inaccuracies by filtering out incorrect beef products, standardized unit handling for wood processes, introduced new ecological fields (e.g., livestock density, permanent pasture), and aligned the database schema and naming conventions. The work reduces downstream data corrections, supports better analytics and reporting, and lays groundwork for scalable data capture, dashboards, and compliance.
December 2025
November 2025
6 Commits • 1 Features
Nov 1, 2025November 2025: MTES-MCT/ecobalyse delivered substantive data model enhancements and environmental data improvements, enabling clearer data, more reliable exports, and richer environmental impact analysis. Implemented targeted data categorization, transformation processes, and governance updates to improve data clarity, maintainability, and analytics readiness. Key outcomes include stabilization of processing IDs, scope extension for transport processes, and improved data asset hygiene. Technologies demonstrated include data modeling, JSON management, and refactoring with naming consistency.
November 2025
6 Commits • 1 Features
Nov 1, 2025November 2025: MTES-MCT/ecobalyse delivered substantive data model enhancements and environmental data improvements, enabling clearer data, more reliable exports, and richer environmental impact analysis. Implemented targeted data categorization, transformation processes, and governance updates to improve data clarity, maintainability, and analytics readiness. Key outcomes include stabilization of processing IDs, scope extension for transport processes, and improved data asset hygiene. Technologies demonstrated include data modeling, JSON management, and refactoring with naming consistency.
October 2025
6 Commits • 4 Features
Oct 1, 2025October 2025 (MTES-MCT/ecobalyse): Delivered stability fixes, new processing capabilities, and a data-model overhaul that enhances reliability and global usability. Key outcomes include cross-architecture precision fixes, restoration of essential paraffin processes, and new UUID-based material identifiers, along with metal incineration and vehicle processing features.
6 Commits • 4 Features
Oct 1, 2025October 2025 (MTES-MCT/ecobalyse): Delivered stability fixes, new processing capabilities, and a data-model overhaul that enhances reliability and global usability. Key outcomes include cross-architecture precision fixes, restoration of essential paraffin processes, and new UUID-based material identifiers, along with metal incineration and vehicle processing features.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025In September 2025, MTES-MCT/ecobalyse delivered a targeted refactor to standardize end-of-life terminology across Python and Elm, improving data clarity and consistency for end-of-life handling. The change aligns terminology with product expectations and lays groundwork for material-type specific processing, with minimal risk to existing workflows. Commit-driven change supported by updated tests ensures ongoing data quality and maintainability.
September 2025
1 Commits • 1 Features
Sep 1, 2025In September 2025, MTES-MCT/ecobalyse delivered a targeted refactor to standardize end-of-life terminology across Python and Elm, improving data clarity and consistency for end-of-life handling. The change aligns terminology with product expectations and lays groundwork for material-type specific processing, with minimal risk to existing workflows. Commit-driven change supported by updated tests ensures ongoing data quality and maintainability.
August 2025
1 Commits
Aug 1, 2025Month 2025-08: Focused on improving data integrity in Ecobalyse by correcting material property inputs used in environmental impact calculations. Delivered a precise fix to density values for oil and seed/nuts, preventing potential inaccuracies in downstream results and strengthening the reliability of model outputs used for stakeholder reporting and regulatory assessments.
1 Commits
Aug 1, 2025Month 2025-08: Focused on improving data integrity in Ecobalyse by correcting material property inputs used in environmental impact calculations. Delivered a precise fix to density values for oil and seed/nuts, preventing potential inaccuracies in downstream results and strengthening the reliability of model outputs used for stakeholder reporting and regulatory assessments.
August 2025
July 2025
8 Commits • 4 Features
Jul 1, 2025July 2025 summary: In July 2025, MTES-MCT/ecobalyse delivered key frontend and data-model enhancements to strengthen environmental impact analysis and reporting. Delivered new Ingredient Explorer capabilities displaying cropGroup and Scenario, added CropGroup and Scenario modules, updated Ingredient decoding, and extended FoodIngredients with new fields to align UI with data model. Implemented sawing process support for environmental impact analysis/resource management. Improved energy calculations by using low-voltage French electricity in the utilization step and standardizing electricity naming in France. Introduced the average aquatic pollution scenario for pretreatment dyeing. Fixed configuration and labeling issues, correcting WTU unit representation (m3 eq) and updating default trim values for accuracy and usability.
July 2025
8 Commits • 4 Features
Jul 1, 2025July 2025 summary: In July 2025, MTES-MCT/ecobalyse delivered key frontend and data-model enhancements to strengthen environmental impact analysis and reporting. Delivered new Ingredient Explorer capabilities displaying cropGroup and Scenario, added CropGroup and Scenario modules, updated Ingredient decoding, and extended FoodIngredients with new fields to align UI with data model. Implemented sawing process support for environmental impact analysis/resource management. Improved energy calculations by using low-voltage French electricity in the utilization step and standardizing electricity naming in France. Introduced the average aquatic pollution scenario for pretreatment dyeing. Fixed configuration and labeling issues, correcting WTU unit representation (m3 eq) and updating default trim values for accuracy and usability.
June 2025
5 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for MTES-MCT/ecobalyse focusing on delivery of core features, bug fixes, and cross-repo data integration, with emphasis on business value and technical impact. Deliverables include expanded modeling capabilities, improved data visibility in explorers, and alignment of environmental impact calculations across tests and configurations.
5 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for MTES-MCT/ecobalyse focusing on delivery of core features, bug fixes, and cross-repo data integration, with emphasis on business value and technical impact. Deliverables include expanded modeling capabilities, improved data visibility in explorers, and alignment of environmental impact calculations across tests and configurations.
June 2025
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 performance summary: Delivered key architectural and data-management improvements in MTES-MCT/ecobalyse, enabling cross-domain reuse and faster releases, fixed critical data processing bug, and expanded object processing and material classification with robust test coverage. The month focused on business value through streamlined release pipelines, data consolidation, and elevated data integrity, while showcasing strong software craftsmanship and cross-functional collaboration.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 performance summary: Delivered key architectural and data-management improvements in MTES-MCT/ecobalyse, enabling cross-domain reuse and faster releases, fixed critical data processing bug, and expanded object processing and material classification with robust test coverage. The month focused on business value through streamlined release pipelines, data consolidation, and elevated data integrity, while showcasing strong software craftsmanship and cross-functional collaboration.
April 2025
4 Commits • 3 Features
Apr 1, 2025April 2025: Achievements focused on data integrity, API stability, and user-relevant features in Ecobalyse. Implemented a hardened process data model with mandatory sourceId and displayName, introduced deterministic process IDs for ingredients to stabilize IDs across shared processes, added ingredient visibility controls, and aligned test data and material descriptions. Result: reduced ID drift, improved selection relevance, and more reliable test coverage, delivering tangible business value and preparing the platform for broader collaboration.
4 Commits • 3 Features
Apr 1, 2025April 2025: Achievements focused on data integrity, API stability, and user-relevant features in Ecobalyse. Implemented a hardened process data model with mandatory sourceId and displayName, introduced deterministic process IDs for ingredients to stabilize IDs across shared processes, added ingredient visibility controls, and aligned test data and material descriptions. Result: reduced ID drift, improved selection relevance, and more reliable test coverage, delivering tangible business value and preparing the platform for broader collaboration.
April 2025
March 2025
4 Commits • 3 Features
Mar 1, 2025March 2025: Delivered three key initiatives in MTES-MCT/ecobalyse that strengthen testing, data quality, and processing capabilities. Enabled all verticals in review environments to broaden testing scope without production risk. Standardized naming across score history and ingredients to improve test stability and reduce ambiguity. Introduced plastic transformation processing in the ecobalyse data/processing layer to close a missing capability and enable end-to-end data workflows. These changes collectively accelerate QA cycles, reduce misconfigurations, and lay groundwork for ongoing feature delivery.
March 2025
4 Commits • 3 Features
Mar 1, 2025March 2025: Delivered three key initiatives in MTES-MCT/ecobalyse that strengthen testing, data quality, and processing capabilities. Enabled all verticals in review environments to broaden testing scope without production risk. Standardized naming across score history and ingredients to improve test stability and reduce ambiguity. Introduced plastic transformation processing in the ecobalyse data/processing layer to close a missing capability and enable end-to-end data workflows. These changes collectively accelerate QA cycles, reduce misconfigurations, and lay groundwork for ongoing feature delivery.
February 2025
7 Commits • 5 Features
Feb 1, 2025February 2025 — MTES-MCT/ecobalyse monthly summary: Delivered five core features across data integrity, data modeling, calculation accuracy, and API consistency, complemented by data quality improvements and CI/CD reliability enhancements. These changes reduce PR data-discrepancy risks, improve model/test alignment, and standardize API responses, driving faster, more trustworthy releases.
7 Commits • 5 Features
Feb 1, 2025February 2025 — MTES-MCT/ecobalyse monthly summary: Delivered five core features across data integrity, data modeling, calculation accuracy, and API consistency, complemented by data quality improvements and CI/CD reliability enhancements. These changes reduce PR data-discrepancy risks, improve model/test alignment, and standardize API responses, driving faster, more trustworthy releases.
February 2025
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025 — MTES-MCT/ecobalyse: Key enhancements and fixes delivered across code quality, data integrity, and simulation accuracy. Tech debt reduction achieved via CI and pre-commit improvements; data corrections improved materials handling accuracy; simulator updates aligned with updated pre-treatments and bleaching logic, with tests adjusted. These changes improved build reliability, data integrity, and the fidelity of processing simulations, enabling more reliable decisions and faster release readiness.
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025 — MTES-MCT/ecobalyse: Key enhancements and fixes delivered across code quality, data integrity, and simulation accuracy. Tech debt reduction achieved via CI and pre-commit improvements; data corrections improved materials handling accuracy; simulator updates aligned with updated pre-treatments and bleaching logic, with tests adjusted. These changes improved build reliability, data integrity, and the fidelity of processing simulations, enabling more reliable decisions and faster release readiness.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 — MTES-MCT/ecobalyse: Key features delivered include Data Formatting Consistency Across Exports and Units, and Textile Data Processing Enhancements: Trim Workflow. No major bugs fixed; stabilization efforts focused on formatting and unit normalization to ensure reliable exports and calculations. Overall impact: improved export readability, reduced diffs and calculation inconsistencies, and groundwork for a robust textile data processing pipeline. Technologies/skills demonstrated: JSON encoding standardization, unit normalization (t⋅km), data structure refactors, and modular component design.
3 Commits • 2 Features
Dec 1, 2024December 2024 — MTES-MCT/ecobalyse: Key features delivered include Data Formatting Consistency Across Exports and Units, and Textile Data Processing Enhancements: Trim Workflow. No major bugs fixed; stabilization efforts focused on formatting and unit normalization to ensure reliable exports and calculations. Overall impact: improved export readability, reduced diffs and calculation inconsistencies, and groundwork for a robust textile data processing pipeline. Technologies/skills demonstrated: JSON encoding standardization, unit normalization (t⋅km), data structure refactors, and modular component design.
December 2024
Activity
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Quality Metrics
Correctness90.2%
Maintainability87.6%
Architecture85.4%
Performance82.6%
AI Usage25.0%
Skills & Technologies
Programming Languages
BashCSSElmHTMLJSONJavaScriptMakefileMarkdownPythonShell
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI developmentAPI integrationBackend DevelopmentBackend developmentBuild AutomationCI/CDCode CleanupCode RefactoringCode StandardizationConfiguration ManagementCross-domain ReusabilityData Analysis
Repositories Contributed To
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