NREL/ComStock
Nov 2024 – Jul 2025
6 Months active
Languages Used
PythonSQLCSVMarkdownRuby
Technical Skills
Data AnalysisData CleaningData EngineeringData ProcessingError HandlingLogging
Ry Horsey
PROFILE
Ry Horsey
Henry Horsey contributed to the NREL/ComStock repository by engineering robust data processing and geospatial integration workflows that improved data quality, reproducibility, and compliance. Over six months, he delivered features such as enhanced sampling logic, spatial lookup upgrades, and apportionment module refinements, using Python, Pandas, and SQL. His work included refactoring geospatial joins, standardizing building type mappings, and implementing deterministic sampling through fixed random seeds. Henry also managed configuration and licensing updates to ensure maintainability and audit readiness. These efforts resulted in more reliable analytics, streamlined release processes, and improved traceability, demonstrating depth in data engineering and system integration practices.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
22Total
Bugs
4
Commits
22
Features
9
Lines of code
337,643
Activity Months6
Your Network
13 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Completed a repository-wide license and copyright year refresh to 2025 for NREL/ComStock, updating LICENSE.txt, Dockerfiles, and related scripts in measures and postprocessing to ensure compliance. This work enhances audit readiness and maintainability. Completed in a single commit with clear traceability. No major bugs fixed this month; primary value came from license hygiene, enabling automated checks and future audits. Technologies demonstrated: git-driven across-repo changes, cross-file updates, and licensing policy compliance.
1 Commits • 1 Features
Jul 1, 2025July 2025: Completed a repository-wide license and copyright year refresh to 2025 for NREL/ComStock, updating LICENSE.txt, Dockerfiles, and related scripts in measures and postprocessing to ensure compliance. This work enhances audit readiness and maintainability. Completed in a single commit with clear traceability. No major bugs fixed this month; primary value came from license hygiene, enabling automated checks and future audits. Technologies demonstrated: git-driven across-repo changes, cross-file updates, and licensing policy compliance.
July 2025
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for NREL/ComStock: Delivered a critical data categorization bug fix and file-naming updates that align processing with updated configurations, improving data integrity and downstream analytics.
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for NREL/ComStock: Delivered a critical data categorization bug fix and file-naming updates that align processing with updated configurations, improving data integrity and downstream analytics.
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 — NREL/ComStock: Two core deliveries focused on data quality, stability, and reporting reliability. 1) ComStock Apportionment Data Processing Improvements: Reintroduced and stabilized apportionment logic; improved handling of primary school building types and size-bin zero; removed problematic data entries (hospitals and large hotels); refactored output naming to include timestamp and sample count for better traceability and business reporting. 2) Geospatial Data Lookup Version Upgrade to v8: Upgraded geospatial lookup data version across the codebase from v6 to v8 to ensure accurate lookups and up-to-date spatial data; updated related comments to reflect the version changes. Impact: Higher data quality and reliability of apportionment results, improved traceability for reporting and audits, and alignment with current spatial datasets. Technologies/skills demonstrated: Python data processing and refactoring, data quality and governance, geospatial data management, version control discipline, and documentation for traceability.
4 Commits • 1 Features
Mar 1, 2025March 2025 — NREL/ComStock: Two core deliveries focused on data quality, stability, and reporting reliability. 1) ComStock Apportionment Data Processing Improvements: Reintroduced and stabilized apportionment logic; improved handling of primary school building types and size-bin zero; removed problematic data entries (hospitals and large hotels); refactored output naming to include timestamp and sample count for better traceability and business reporting. 2) Geospatial Data Lookup Version Upgrade to v8: Upgraded geospatial lookup data version across the codebase from v6 to v8 to ensure accurate lookups and up-to-date spatial data; updated related comments to reflect the version changes. Impact: Higher data quality and reliability of apportionment results, improved traceability for reporting and audits, and alignment with current spatial datasets. Technologies/skills demonstrated: Python data processing and refactoring, data quality and governance, geospatial data management, version control discipline, and documentation for traceability.
March 2025
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025: Delivered data hygiene and reproducibility enhancements for NREL/ComStock. Updated spatial lookup to v8 with expanded New York coverage and county detail, and removed deprecated v6 data to prevent confusion. Enhanced the ComStock apportionment module with new HVAC system type and heating fuel data, updated file naming conventions and data loading/inference methods, and added fixed random seeds for reproducibility. Strengthened error handling to prevent runtime issues when TSV lookups return zero. These changes improve model accuracy, reproducibility, and maintainability, delivering tangible business value for energy modeling and forecasting.
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025: Delivered data hygiene and reproducibility enhancements for NREL/ComStock. Updated spatial lookup to v8 with expanded New York coverage and county detail, and removed deprecated v6 data to prevent confusion. Enhanced the ComStock apportionment module with new HVAC system type and heating fuel data, updated file naming conventions and data loading/inference methods, and added fixed random seeds for reproducibility. Strengthened error handling to prevent runtime issues when TSV lookups return zero. These changes improve model accuracy, reproducibility, and maintainability, delivering tangible business value for energy modeling and forecasting.
December 2024
8 Commits • 3 Features
Dec 1, 2024December 2024: Delivered critical EUSS 2024 November release assets and data packaging updates for NREL/ComStock, strengthened geospatial data integrity, and updated release documentation to improve buildstock workflows. Focused on release readiness, data quality, and maintainability.
8 Commits • 3 Features
Dec 1, 2024December 2024: Delivered critical EUSS 2024 November release assets and data packaging updates for NREL/ComStock, strengthened geospatial data integrity, and updated release documentation to improve buildstock workflows. Focused on release readiness, data quality, and maintainability.
December 2024
November 2024
4 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for NREL/ComStock focusing on data quality improvements, sampling enhancements, and reliability of monthly calculations. Delivered robust bucket-development inputs, improved geospatial handling, and fixed time extraction and HVAC data integrity, enabling more accurate analytics and better business decisions.
November 2024
4 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for NREL/ComStock focusing on data quality improvements, sampling enhancements, and reliability of monthly calculations. Delivered robust bucket-development inputs, improved geospatial handling, and fixed time extraction and HVAC data integrity, enabling more accurate analytics and better business decisions.
Activity
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Quality Metrics
Correctness87.8%
Maintainability87.2%
Architecture85.4%
Performance77.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMarkdownPythonRubySQL
Technical Skills
Code MaintenanceCode RefactoringConfigurationConfiguration ManagementData AnalysisData CleaningData EngineeringData ManagementData ProcessingDocumentationError HandlingFile ManagementGeospatial AnalysisLicensing ManagementLogging
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