Contributed to the vkoves/electrify-chicago repository by developing and refining a data-driven grading and visualization system for building energy analysis. Over three months, delivered features such as real-time grading integration, percentile-based scoring, and robust data cleaning for visualizations, while also addressing reproducibility and automation in Jupyter Notebooks. Applied Python, Pandas, and Docker to streamline data processing, automate workflows, and enhance project organization. Improved code quality through linting, refactoring, and documentation updates, and resolved issues related to CSV compatibility and npm installation reliability. These efforts resulted in more accurate dashboards, maintainable code, and efficient CI/CD pipelines for the project.
February 2025 — vkoves/electrify-chicago: Delivered six features and fixed five high-priority bugs, strengthening data quality, reproducibility, and deployment reliability. Notable work includes integrating grading into the process data stream and updating benchmarks with grades, ensuring notebook compatibility with CSV changes, and fortifying the codebase with linting and style fixes. Also improved environment reliability for npm installations in corporate networks and refined data/assets/documentation by moving the xlsx file and updating the data readme. These changes enable real-time dashboards, streamlined workflows, and robust CI/data pipelines with higher accuracy and reduced manual maintenance.
February 2025 — vkoves/electrify-chicago: Delivered six features and fixed five high-priority bugs, strengthening data quality, reproducibility, and deployment reliability. Notable work includes integrating grading into the process data stream and updating benchmarks with grades, ensuring notebook compatibility with CSV changes, and fortifying the codebase with linting and style fixes. Also improved environment reliability for npm installations in corporate networks and refined data/assets/documentation by moving the xlsx file and updating the data readme. These changes enable real-time dashboards, streamlined workflows, and robust CI/data pipelines with higher accuracy and reduced manual maintenance.
Month: 2024-12. Focused on delivering a scalable, decision-support grading and notebook reliability package for the vkoves/electrify-chicago project. The work improved data-driven decision making, reproducibility, and repository hygiene with minimal friction for researchers and analysts.
Month: 2024-12. Focused on delivering a scalable, decision-support grading and notebook reliability package for the vkoves/electrify-chicago project. The work improved data-driven decision making, reproducibility, and repository hygiene with minimal friction for researchers and analysts.
Month: 2024-11 for vkoves/electrify-chicago. Focused on stabilizing data visualizations, improving automation, and reorganizing project structure. Delivered two bug fixes and two feature enhancements, leading to improved data integrity, better documentation, and more reliable CI/CD workflows. The work enhances data quality, maintainability, and developer velocity across the project.
Month: 2024-11 for vkoves/electrify-chicago. Focused on stabilizing data visualizations, improving automation, and reorganizing project structure. Delivered two bug fixes and two feature enhancements, leading to improved data integrity, better documentation, and more reliable CI/CD workflows. The work enhances data quality, maintainability, and developer velocity across the project.
Overview of all repositories you've contributed to across your timeline