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justinfmccarty

PROFILE

Justinfmccarty

Justin McCarty developed advanced analytics and climate data processing features for the CityEnergyAnalyst repository, focusing on energy systems modeling and weather file manipulation. He delivered an advanced energy analytics extension that expanded metrics, introduced seasonal masking, and added a lifetime photovoltaic production function, all implemented in Python using Numpy and Pandas. Justin also integrated robust data handling to improve output consistency and resilience against missing or legacy data. In addition, he built core climate morphing capabilities for weather data, upgrading the morphing library and enhancing configuration options. His work improved analytical depth, maintainability, and the accuracy of climate scenario analysis workflows.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

7Total
Bugs
0
Commits
7
Features
4
Lines of code
3,680
Activity Months2

Work History

September 2025

3 Commits • 2 Features

Sep 1, 2025

September 2025 monthly work summary for CityEnergyAnalyst focused on delivering core morphing capabilities for weather data and strengthening maintainability. Key contributions include integrating the climate morphing core into the CEA Weather Helper with a library upgrade to 1.0.3 (featuring caching and improved variable handling) and expanding configuration to include the 'Upper Middle' climate pathway. Documentation and metadata for the epwmorpher module were updated to improve clarity, authorship, licensing, and versioning. These efforts improve climate scenario analysis, performance, and maintainability, and set the stage for scaled future enhancements.

November 2024

4 Commits • 2 Features

Nov 1, 2024

Month: 2024-11 — Delivered advanced analytics enhancements for CityEnergyAnalyst, improving energy modeling capabilities, data robustness, and output consistency. Key features delivered include the Advanced Energy Analytics Extension and Robust Analytics Data Processing. These changes expand metrics, add seasonal masking, introduce lifetime PV production function, and harden analytics against missing data and older DB versions. Result: higher fidelity energy analyses, streamlined reporting, and better resilience in production pipelines. Also integrated into scripts and updated database components to support extended analytics.

Activity

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Quality Metrics

Correctness82.8%
Maintainability82.8%
Architecture80.0%
Performance71.4%
AI Usage22.8%

Skills & Technologies

Programming Languages

ExcelPython

Technical Skills

API IntegrationClimate Data ProcessingClimate Scenario AnalysisConfiguration ManagementData AnalysisDocumentationEnergy Systems ModelingFull Stack DevelopmentNumpyPandasPythonPython DevelopmentPython Library IntegrationPython ScriptingRefactoring

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

architecture-building-systems/CityEnergyAnalyst

Nov 2024 Sep 2025
2 Months active

Languages Used

ExcelPython

Technical Skills

Configuration ManagementData AnalysisEnergy Systems ModelingNumpyPandasPython

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