DataBytes-Organisation/DiscountMate_new
Nov 2025 – May 2026
6 Months active
Languages Used
PythontextJavaScriptYAMLMarkdownPNGSQLTypeScript
Technical Skills
Jupyter NotebookPythondata analysismachine learningAPI integrationCSV handling
kevke-edu
PROFILE
Kevke-edu
Over six months, contributed to DataBytes-Organisation/DiscountMate_new by building data pipelines, scalable scrapers, and governance tools to streamline product data collection and analysis. Developed end-to-end workflows integrating MongoDB, MinIO, Spark, and PostgreSQL, with automated CI/CD for reliable deployment. Enhanced user-facing features such as KNN-based recommendations and RecipeBot, incorporating Python, Flask, and React for robust data processing and interactive interfaces. Improved onboarding and compliance through structured documentation using Docusaurus and implemented tools for dataset policy management. Addressed cross-platform deployment issues and maintained clean, reproducible codebases, demonstrating depth in data engineering, machine learning, and full stack development across cloud and web environments.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
17Total
Bugs
1
Commits
17
Features
12
Lines of code
13,189,929
Activity Months6
Your Network
146 peopleSame Organization
@deakin.edu.au99
JustinMember
Amed-dhMember
CodeNinja4GitMember
Adrian FariaMember
RynGMMember
Brett McBrideMember
bshean1Member
Cjay BasaMember
Stefan CucosMember
Work History
May 2026
5 Commits • 3 Features
May 1, 20262026-05 Monthly Summary: Delivered three major capabilities in DataBytes-Organisation/DiscountMate_new, focusing on data reliability, faster time-to-insight, and improved user experience. Implemented end-to-end DiscountMate data pipeline and CI/CD workflows (MongoDB -> MinIO -> Spark -> PostgreSQL) with automated deployment and testing. Added RecipeBot enhancements: GCS loader for Recipe RAG, chat reset, and markdown rendering to improve data accessibility. Expanded documentation and assets (Docusaurus-based) including Catalogue OCR, LLM RAG docs, cybersecurity section, ML deployment guidelines, and related image assets to accelerate onboarding and governance. No major bugs fixed this month.
5 Commits • 3 Features
May 1, 20262026-05 Monthly Summary: Delivered three major capabilities in DataBytes-Organisation/DiscountMate_new, focusing on data reliability, faster time-to-insight, and improved user experience. Implemented end-to-end DiscountMate data pipeline and CI/CD workflows (MongoDB -> MinIO -> Spark -> PostgreSQL) with automated deployment and testing. Added RecipeBot enhancements: GCS loader for Recipe RAG, chat reset, and markdown rendering to improve data accessibility. Expanded documentation and assets (Docusaurus-based) including Catalogue OCR, LLM RAG docs, cybersecurity section, ML deployment guidelines, and related image assets to accelerate onboarding and governance. No major bugs fixed this month.
May 2026
March 2026
3 Commits • 2 Features
Mar 1, 2026Concise monthly summary for 2026-03 highlighting feature delivery, improvements, and impact for DataBytes-Organisation/DiscountMate_new.
March 2026
3 Commits • 2 Features
Mar 1, 2026Concise monthly summary for 2026-03 highlighting feature delivery, improvements, and impact for DataBytes-Organisation/DiscountMate_new.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 performance summary focusing on documentation CI/CD improvements and cross-OS deployment reliability for DiscountMate_new. Overall, the month delivered operational enhancements to the docs deployment pipeline and resolved Linux-specific file casing issues, resulting in more reliable, faster, and Linux-friendly documentation deployments to GitHub Pages.
2 Commits • 1 Features
Feb 1, 2026February 2026 performance summary focusing on documentation CI/CD improvements and cross-OS deployment reliability for DiscountMate_new. Overall, the month delivered operational enhancements to the docs deployment pipeline and resolved Linux-specific file casing issues, resulting in more reliable, faster, and Linux-friendly documentation deployments to GitHub Pages.
February 2026
January 2026
4 Commits • 3 Features
Jan 1, 2026January 2026 monthly performance summary for DataBytes-Organisation/DiscountMate_new. Focused on expanding data infrastructure, governance tooling, and an experimental R&D framework to accelerate onboarding, improve data quality, and establish foundations for future development. Key work includes dataset expansion and policy documentation, a new onboarding discovery tool for governance reporting, and an experimental research structure with a CNN-based reverse image search PoC. All changes are traceable via commit history, including policy/readme clarifications and feature implementations.
January 2026
4 Commits • 3 Features
Jan 1, 2026January 2026 monthly performance summary for DataBytes-Organisation/DiscountMate_new. Focused on expanding data infrastructure, governance tooling, and an experimental R&D framework to accelerate onboarding, improve data quality, and establish foundations for future development. Key work includes dataset expansion and policy documentation, a new onboarding discovery tool for governance reporting, and an experimental research structure with a CNN-based reverse image search PoC. All changes are traceable via commit history, including policy/readme clarifications and feature implementations.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for DataBytes-Organisation/DiscountMate_new focusing on feature delivery and business impact. Key feature delivered: Multi-store Catalogue Scraper with Image Downloads and Metadata CSV Tracking. Implemented a scalable module that scrapes product data across multiple Australian retailers, downloads product images, and records metadata in CSV format. The feature includes backup and update functionalities to ensure data integrity and refresh capability for catalogs.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for DataBytes-Organisation/DiscountMate_new focusing on feature delivery and business impact. Key feature delivered: Multi-store Catalogue Scraper with Image Downloads and Metadata CSV Tracking. Implemented a scalable module that scrapes product data across multiple Australian retailers, downloads product images, and records metadata in CSV format. The feature includes backup and update functionalities to ensure data integrity and refresh capability for catalogs.
December 2025
November 2025
2 Commits • 2 Features
Nov 1, 2025Month: 2025-11 — DataBytes-Organisation/DiscountMate_new. Focused on delivering user-facing KNN results and improving code maintainability. No critical bugs reported this month; maintenance tasks centered on improving diff readability and reproducibility. Impact includes faster validation of KNN-driven recommendations by product teams and streamlined review workflows thanks to cleaner notebook outputs. Technologies/skills demonstrated: Python, KNN integration, Jupyter notebook hygiene, and strong commit discipline.
November 2025
2 Commits • 2 Features
Nov 1, 2025Month: 2025-11 — DataBytes-Organisation/DiscountMate_new. Focused on delivering user-facing KNN results and improving code maintainability. No critical bugs reported this month; maintenance tasks centered on improving diff readability and reproducibility. Impact includes faster validation of KNN-driven recommendations by product teams and streamlined review workflows thanks to cleaner notebook outputs. Technologies/skills demonstrated: Python, KNN integration, Jupyter notebook hygiene, and strong commit discipline.
Activity
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Quality Metrics
Correctness91.8%
Maintainability88.2%
Architecture90.6%
Performance87.0%
AI Usage34.2%
Skills & Technologies
Programming Languages
JavaScriptMarkdownPNGPythonSQLTypeScriptYAMLtext
Technical Skills
AIAPI IntegrationAPI developmentAPI integrationAirflowCI/CDCSV handlingData AnalysisData EngineeringData ProcessingDevOpsDocumentationDocusaurusExpressFlask
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