DataBytes-Organisation/Intelligent-IoT-Data-Management
May 2026 – May 2026
1 Month active
Languages Used
JSONJavaScriptMarkdownPython
Technical Skills
API DevelopmentAPI TestingAPI developmentAPI testingData AnalysisData Processing
Senura Perera
PROFILE
Senura Perera
Developed end-to-end enhancements for the Intelligent-IoT-Data-Management repository, focusing on a robust IoT data wrapper pipeline. Integrated preprocessing, rolling window logic, and correlation analysis to enable advanced time series data management and alerting. Implemented threshold-based alert generation and demo tooling, ensuring the pipeline could process real IoT datasets with validation. Expanded API exposure using Flask and Python, supporting correlation alerts and CSV uploads, while improving testing and documentation for maintainability. Addressed timestamp formatting and import redundancy, and maintained repository hygiene with version control best practices. Leveraged skills in API development, data processing, and backend engineering to deliver reliable, production-ready features.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
27Total
Bugs
1
Commits
27
Features
10
Lines of code
255,357
Activity Months1
Your Network
25 peopleShared Repositories
25
Work History
May 2026
27 Commits • 10 Features
May 1, 2026For May 2026, delivered end-to-end enhancements to the Intelligent IoT Data Management wrapper pipeline, including preprocessing integration, rolling window processing, correlation analysis, alerting, demo tooling, API exposure, and end-to-end validation with real IoT data. Also improved testing, maintenance, and documentation to support adoption and reliability.
27 Commits • 10 Features
May 1, 2026For May 2026, delivered end-to-end enhancements to the Intelligent IoT Data Management wrapper pipeline, including preprocessing integration, rolling window processing, correlation analysis, alerting, demo tooling, API exposure, and end-to-end validation with real IoT data. Also improved testing, maintenance, and documentation to support adoption and reliability.
May 2026
Activity
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Quality Metrics
Correctness91.8%
Maintainability88.8%
Architecture88.8%
Performance88.2%
AI Usage23.6%
Skills & Technologies
Programming Languages
JSONJavaScriptMarkdownPython
Technical Skills
API DevelopmentAPI TestingAPI developmentAPI testingData AnalysisData ProcessingDjangoFlaskIoTIoT developmentJavaScriptNode.jsPandasPostmanPython
Repositories Contributed To
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