Chameleon-company/MOP-Code
Nov 2024 – Dec 2024
2 Months active
Languages Used
CSVGit IgnoreGitattributesHTMLJSONJavaScriptJupyter NotebookPython
Technical Skills
API IntegrationBigQueryCloud ComputingCloud ConfigurationCode CleanupCode Commenting
SABRI GULLUOGLU
PROFILE
Sabri Gulluoglu
Developed end-to-end analytics and forecasting pipelines for parking occupancy in the Chameleon-company/MOP-Code repository, integrating City of Melbourne API data with Google BigQuery for storage and analysis. Leveraged Python, SQL, and TensorFlow to clean and normalize data, perform hourly and monthly aggregations, and implement LSTM-based time series forecasting for future occupancy trends. Enhanced data visualization using Leaflet.js and Matplotlib, presenting actionable insights on interactive maps. Improved repository maintainability through rigorous documentation, artifact cleanup, and standardized file organization. Strengthened security by removing sensitive credentials and configuring service account authentication, ensuring reproducibility, data quality, and efficient onboarding for future contributors.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
26Total
Bugs
0
Commits
26
Features
5
Lines of code
66,006
Activity Months2
Your Network
190 peopleSame Organization
@deakin.edu.au92
JustinMember
Amed-dhMember
CodeNinja4GitMember
Adrian FariaMember
RynGMMember
Brett McBrideMember
bshean1Member
Cjay BasaMember
Stefan CucosMember
Work History
December 2024
8 Commits • 2 Features
Dec 1, 2024December 2024 performance summary for Chameleon-company/MOP-Code: Delivered end-to-end Parking Occupancy Analysis and Forecasting with data cleaning, timezone normalization, hourly/monthly aggregations, correlation analysis, and LSTM-based forecasts; completed Playground Cleanup and Documentation for Parking Slot Occupancy Detection; improved data quality and maintainability through pipeline standardization and repository hygiene. These efforts deliver actionable occupancy insights, reduce operational risk, and enhance onboarding efficiency.
8 Commits • 2 Features
Dec 1, 2024December 2024 performance summary for Chameleon-company/MOP-Code: Delivered end-to-end Parking Occupancy Analysis and Forecasting with data cleaning, timezone normalization, hourly/monthly aggregations, correlation analysis, and LSTM-based forecasts; completed Playground Cleanup and Documentation for Parking Slot Occupancy Detection; improved data quality and maintainability through pipeline standardization and repository hygiene. These efforts deliver actionable occupancy insights, reduce operational risk, and enhance onboarding efficiency.
December 2024
November 2024
18 Commits • 3 Features
Nov 1, 2024Month: 2024-11 — Focused on delivering business-value analytics for parking occupancy, hardening credentials, and tidying project artifacts in Chameleon MOP-Code. End-to-end pipeline fetches occupancy data from City of Melbourne API, loads into BigQuery, analyzes occupancy and peak usage, and visualizes results on a Leaflet map. Security hardening removed sensitive credential files and updated gitignore; service account authentication set up for Google Cloud. Completed artifacts cleanup, dataset organization, and documentation updates to improve reproducibility and maintainability.
November 2024
18 Commits • 3 Features
Nov 1, 2024Month: 2024-11 — Focused on delivering business-value analytics for parking occupancy, hardening credentials, and tidying project artifacts in Chameleon MOP-Code. End-to-end pipeline fetches occupancy data from City of Melbourne API, loads into BigQuery, analyzes occupancy and peak usage, and visualizes results on a Leaflet map. Security hardening removed sensitive credential files and updated gitignore; service account authentication set up for Google Cloud. Completed artifacts cleanup, dataset organization, and documentation updates to improve reproducibility and maintainability.
Activity
Loading activity data...
Quality Metrics
Correctness87.6%
Maintainability89.2%
Architecture87.6%
Performance87.8%
AI Usage23.0%
Skills & Technologies
Programming Languages
CSVGit IgnoreGitattributesHTMLJSONJavaScriptJupyter NotebookPythonSQL
Technical Skills
API IntegrationBigQueryCloud ComputingCloud ConfigurationCode CleanupCode CommentingConfiguration ManagementData AnalysisData EngineeringData ScienceData VisualizationDatabase ModelingDocumentationFile ManagementFrontend Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline