rice-apps/thea-aa
Nov 2024 – Apr 2025
4 Months active
Languages Used
PythonSQLExcelJavaScript
Technical Skills
API DevelopmentBackend DevelopmentData ImportData ModelingDatabase ManagementDatabase Modeling
vizdiz
PROFILE
Vizdiz
Vismay Ravikumar developed and enhanced the emission data workflow for the rice-apps/thea-aa repository, focusing on automated data ingestion, modeling, and geospatial visualization. He implemented Django-based data models and REST APIs for emission events and Superfund sites, integrating Excel and CSV imports with data integrity checks using Python and Pandas. Vismay engineered a Selenium-driven scraping pipeline with scheduled tasks to automate EPA and TECQ data collection, reducing manual effort and improving data freshness. He also upgraded frontend Svelte components to align with evolving data models and map displays, ensuring accurate analytics, compliance readiness, and maintainable, migration-safe database schemas.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
6
Lines of code
23,795
Activity Months4
Your Network
8 people
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Implemented end-to-end enhancements to the Superfund data pipeline and map visualization, integrating scraped latitude/longitude into site records, merging coordinates with existing data, and removing outdated records before re-import. Updated the map component to render markers for Superfund sites and emission events based on coordinates, improving geospatial accuracy and decision support. Performed a Django migrations rollback/correction to restore and stabilize schema for critical models by restoring initial migrations and creating new ones for SuperfundSite and EmissionEvents, ensuring data integrity and smoother future migrations.
2 Commits • 1 Features
Apr 1, 2025April 2025: Implemented end-to-end enhancements to the Superfund data pipeline and map visualization, integrating scraped latitude/longitude into site records, merging coordinates with existing data, and removing outdated records before re-import. Updated the map component to render markers for Superfund sites and emission events based on coordinates, improving geospatial accuracy and decision support. Performed a Django migrations rollback/correction to restore and stabilize schema for critical models by restoring initial migrations and creating new ones for SuperfundSite and EmissionEvents, ensuring data integrity and smoother future migrations.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements. Key features delivered: - Emission Events Data Model Upgrade (contaminants and authorizations): performed a database migration to remove obsolete emission event fields and add new fields for contaminants and authorizations. Frontend components for emission events and map display were updated to align with the new structure and coordinates. As part of cleanup, the temporary Excel export file was removed. Major bugs fixed: - No major bugs reported this month; one quick fix was merged as part of the upgrade (commit referenced below). Overall impact and accomplishments: - Strengthened data integrity and compliance readiness by enabling richer data capture for emission events, contaminants, and authorizations. - Enabled more accurate analytics and reporting through the updated data model and synchronized frontend visuals. - Reduced technical debt and potential data leakage by removing legacy Excel export artifacts. Technologies/skills demonstrated: - Database migrations and data model evolution - Frontend/UI alignment with backend changes and map integration - Data cleanup and artifact removal - Version control discipline with targeted fixes (quick fix commit) Commit reference associated with this work: - 6248ae0670790c7e52c61abb1e5a9e286b2a8acd
March 2025
1 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements. Key features delivered: - Emission Events Data Model Upgrade (contaminants and authorizations): performed a database migration to remove obsolete emission event fields and add new fields for contaminants and authorizations. Frontend components for emission events and map display were updated to align with the new structure and coordinates. As part of cleanup, the temporary Excel export file was removed. Major bugs fixed: - No major bugs reported this month; one quick fix was merged as part of the upgrade (commit referenced below). Overall impact and accomplishments: - Strengthened data integrity and compliance readiness by enabling richer data capture for emission events, contaminants, and authorizations. - Enabled more accurate analytics and reporting through the updated data model and synchronized frontend visuals. - Reduced technical debt and potential data leakage by removing legacy Excel export artifacts. Technologies/skills demonstrated: - Database migrations and data model evolution - Frontend/UI alignment with backend changes and map integration - Data cleanup and artifact removal - Version control discipline with targeted fixes (quick fix commit) Commit reference associated with this work: - 6248ae0670790c7e52c61abb1e5a9e286b2a8acd
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered end-to-end automated data ingestion for EPA Superfund and TECQ data in rice-apps/thea-aa. Implemented a Selenium-based scraper to download Excel data, convert to CSV, and orchestrate runs via a Django-crontab scheduled task. Extended EmissionEvents data models and serializers to accommodate new fields and updated the import script to handle TECQ data fields. These changes enable automated, timely, and reliable data ingestion for downstream analytics and reporting, reducing manual effort and improving data freshness and consistency.
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered end-to-end automated data ingestion for EPA Superfund and TECQ data in rice-apps/thea-aa. Implemented a Selenium-based scraper to download Excel data, convert to CSV, and orchestrate runs via a Django-crontab scheduled task. Extended EmissionEvents data models and serializers to accommodate new fields and updated the import script to handle TECQ data fields. These changes enable automated, timely, and reliable data ingestion for downstream analytics and reporting, reducing manual effort and improving data freshness and consistency.
February 2025
November 2024
9 Commits • 3 Features
Nov 1, 2024November 2024: End-to-end enhancement of the emission data workflow for thea-aa. Implemented new data models EmissionEvents and SuperfundSite with admin, and initial migrations; added Excel-based import with bulk_create and EPA ID uniqueness enforcement; delivered REST API scaffolding (serializers, viewsets, URLs) with functional endpoints; performed repository hygiene and PR feedback iterations to ensure clean, maintainable code base. These changes enable automated data ingestion, consistent data quality, and faster analytics for reporting and compliance.
November 2024
9 Commits • 3 Features
Nov 1, 2024November 2024: End-to-end enhancement of the emission data workflow for thea-aa. Implemented new data models EmissionEvents and SuperfundSite with admin, and initial migrations; added Excel-based import with bulk_create and EPA ID uniqueness enforcement; delivered REST API scaffolding (serializers, viewsets, URLs) with functional endpoints; performed repository hygiene and PR feedback iterations to ensure clean, maintainable code base. These changes enable automated data ingestion, consistent data quality, and faster analytics for reporting and compliance.
Activity
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Quality Metrics
Correctness80.8%
Maintainability80.0%
Architecture78.6%
Performance67.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
ExcelJavaScriptPythonSQL
Technical Skills
API DevelopmentAPI IntegrationAutomationBackend DevelopmentData EngineeringData ImportData ModelingData ProcessingData VisualizationDatabase ManagementDatabase MigrationDatabase ModelingDjangoDjango REST frameworkFile Conversion
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