upyoguddhp/upyog-mdms-data
May 2025 – Oct 2025
4 Months active
Languages Used
JSONJavaPythonSQLUnknownJavaScript
Technical Skills
Data ManagementMDMBackend DevelopmentConfigurationConfiguration ManagementData Engineering
Aryan Sharma
PROFILE
Aryan Sharma
Aryan Sharma enhanced the upyog-mdms-data repository by delivering a series of backend and data model improvements focused on fee calculations, category management, and digital signature workflows across multiple districts. He restructured master data to support location-based services, standardized fee and category models for regional consistency, and centralized signature governance to reduce manual drift. Aryan applied Java and SQL for backend logic and data modeling, ensuring accurate billing and regulatory alignment. His work included both new feature development and targeted bug fixes, demonstrating depth in configuration management and data engineering while improving operational efficiency and maintainability of the MDMS data platform.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
64Total
Bugs
6
Commits
64
Features
20
Lines of code
153,082
Activity Months4
Your Network
53 people
Work History
October 2025
22 Commits • 11 Features
Oct 1, 2025October 2025 monthly summary for the upyog-mdms-data repository. Delivered substantial backend enhancements across Bilaspur, Solan, Palampur, and Shimla contexts, focusing on fee calculations, category mappings, service workflows, and data quality. The work materially improves pricing accuracy, regulatory alignment, and operational efficiency for MDMS data processing.
22 Commits • 11 Features
Oct 1, 2025October 2025 monthly summary for the upyog-mdms-data repository. Delivered substantial backend enhancements across Bilaspur, Solan, Palampur, and Shimla contexts, focusing on fee calculations, category mappings, service workflows, and data quality. The work materially improves pricing accuracy, regulatory alignment, and operational efficiency for MDMS data processing.
October 2025
September 2025
15 Commits • 2 Features
Sep 1, 2025Month: 2025-09 — MDMS data platform enhancements for fees, categories, and signature/configuration governance in upyog-mdms-data. Key outcomes include a complete overhaul of the MDMS Fees and Categories data model with Rampur/Jubbal fee structure alignment and a Rampur fee calculation bug fix; centralized signature management and category configuration updates across districts; and related governance improvements to reduce manual drift and improve billing accuracy.
September 2025
15 Commits • 2 Features
Sep 1, 2025Month: 2025-09 — MDMS data platform enhancements for fees, categories, and signature/configuration governance in upyog-mdms-data. Key outcomes include a complete overhaul of the MDMS Fees and Categories data model with Rampur/Jubbal fee structure alignment and a Rampur fee calculation bug fix; centralized signature management and category configuration updates across districts; and related governance improvements to reduce manual drift and improve billing accuracy.
August 2025
26 Commits • 6 Features
Aug 1, 2025August 2025 (2025-08) — Delivered scalable, standards-driven enhancements to the MDMS data platform with particular emphasis on digital signature workflows, regional fee categorization, and data model standardization. Implementations focused on business value, maintainability, and cross-region consistency across the upyog-mdms-data repository. Key outcomes include standardized signature management, initialization of base and regional fee categories, and a restructured category model to enable uniform reporting and pricing across districts.
26 Commits • 6 Features
Aug 1, 2025August 2025 (2025-08) — Delivered scalable, standards-driven enhancements to the MDMS data platform with particular emphasis on digital signature workflows, regional fee categorization, and data model standardization. Implementations focused on business value, maintainability, and cross-region consistency across the upyog-mdms-data repository. Key outcomes include standardized signature management, initialization of base and regional fee categories, and a restructured category model to enable uniform reporting and pricing across districts.
August 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Implemented location-based data enhancement in the MDMS data repository by adding ward numbers for Palampur, Dharamshala, and Mandi, and extending master data with geographical/administrative ward entries to support location-based services. This improvement enhances data completeness, enables accurate routing and analytics, and provides a solid foundation for future regional features.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Implemented location-based data enhancement in the MDMS data repository by adding ward numbers for Palampur, Dharamshala, and Mandi, and extending master data with geographical/administrative ward entries to support location-based services. This improvement enhances data completeness, enables accurate routing and analytics, and provides a solid foundation for future regional features.
Activity
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Quality Metrics
Correctness71.8%
Maintainability71.8%
Architecture67.8%
Performance69.2%
AI Usage27.2%
Skills & Technologies
Programming Languages
JSONJavaJavaScriptPythonSQLUnknown
Technical Skills
API DevelopmentBackend DevelopmentBug FixingConfigurationConfiguration ManagementData EngineeringData ManagementData ModelingDatabase AdministrationDatabase ManagementDatabase OperationsError HandlingFinancial SystemsFull stack developmentJava
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