DataBytes-Organisation/DiscountMate_new
Aug 2025 – May 2026
4 Months active
Languages Used
PythonSQLJavaScriptYAML
Technical Skills
Data AnalysisData VisualizationMatplotlibNumPyPandasPython
srinikethreddy29
PROFILE
Srinikethreddy29
Over four months, contributed to the DataBytes-Organisation/DiscountMate_new repository by building and enhancing automated receipt data extraction and analytics features. Developed an end-to-end OCR pipeline that processes receipt images, matches extracted items to product catalogs, and stores structured data in user profiles, enabling faster expense processing and richer analytics. Integrated image preprocessing and validation to improve OCR accuracy, and implemented trend analysis tools for visualizing product price changes and sales patterns. Leveraged Python, Pandas, and OCR technologies throughout, focusing on robust data engineering and backend development practices to deliver scalable, testable solutions without introducing or tracking major bugs during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
4
Lines of code
8,860,531
Activity Months4
Your Network
47 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for DataBytes-Organisation/DiscountMate_new: Delivered end-to-end Receipt OCR and Data Extraction feature enabling automated data capture from receipts, product matching against the catalog, image preprocessing for higher OCR accuracy, and persistence of extracted data in user profiles. This unlocks faster expense processing, improves data quality, and enables richer receipt-based analytics.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for DataBytes-Organisation/DiscountMate_new: Delivered end-to-end Receipt OCR and Data Extraction feature enabling automated data capture from receipts, product matching against the catalog, image preprocessing for higher OCR accuracy, and persistence of extracted data in user profiles. This unlocks faster expense processing, improves data quality, and enables richer receipt-based analytics.
May 2026
April 2026
2 Commits • 1 Features
Apr 1, 2026Month: 2026-04 — Delivered an OCR-driven receipt processing enhancement with integrated product matching, enabling higher data accuracy and faster processing in DiscountMate_new. The work is tracked via two commits and validated on synthetic datasets to ensure robustness and reliability.
April 2026
2 Commits • 1 Features
Apr 1, 2026Month: 2026-04 — Delivered an OCR-driven receipt processing enhancement with integrated product matching, enabling higher data accuracy and faster processing in DiscountMate_new. The work is tracked via two commits and validated on synthetic datasets to ensure robustness and reliability.
March 2026
1 Commits • 1 Features
Mar 1, 2026Monthly summary for 2026-03 focused on delivering the Receipt OCR Baseline Pipeline for the DataBytes-Organisation/DiscountMate_new repository and establishing testing artifacts to validate end-to-end text extraction from receipts. No major bugs fixed this month. Overall impact: provides a concrete foundation for automated receipt data extraction, enabling faster data processing, analytics, and scalable future enhancements. Technologies/skills demonstrated include baseline OCR workflow design, test artifact creation, version-controlled feature development, and rapid validation with a sample receipt.
1 Commits • 1 Features
Mar 1, 2026Monthly summary for 2026-03 focused on delivering the Receipt OCR Baseline Pipeline for the DataBytes-Organisation/DiscountMate_new repository and establishing testing artifacts to validate end-to-end text extraction from receipts. No major bugs fixed this month. Overall impact: provides a concrete foundation for automated receipt data extraction, enabling faster data processing, analytics, and scalable future enhancements. Technologies/skills demonstrated include baseline OCR workflow design, test artifact creation, version-controlled feature development, and rapid validation with a sample receipt.
March 2026
August 2025
2 Commits • 1 Features
Aug 1, 2025Monthly performance summary for 2025-08 focused on the DataBytes-Organisation/DiscountMate_new repository. Delivered a consolidated Trend Analysis feature set and improved data processing to enhance pricing and sales insights. No major bugs reported or tracked for this period.
August 2025
2 Commits • 1 Features
Aug 1, 2025Monthly performance summary for 2025-08 focused on the DataBytes-Organisation/DiscountMate_new repository. Delivered a consolidated Trend Analysis feature set and improved data processing to enhance pricing and sales insights. No major bugs reported or tracked for this period.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance76.6%
AI Usage40.0%
Skills & Technologies
Programming Languages
JavaScriptPythonSQLYAML
Technical Skills
API developmentAirflowBackend DevelopmentDBTData AnalysisData EngineeringData ProcessingData VisualizationFlaskImage ProcessingMachine LearningMatplotlibMinIOMongoDBNode.js
Repositories Contributed To
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