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SABRI GULLUOGLU

PROFILE

Sabri Gulluoglu

Sercan Gulluoglu developed an end-to-end parking occupancy analytics and forecasting pipeline for the Chameleon-company/MOP-Code repository, integrating City of Melbourne API data with Google BigQuery for storage and analysis. He engineered data cleaning, timezone normalization, and aggregation processes, then applied LSTM-based forecasting to predict occupancy trends. Using Python, SQL, and TensorFlow, Sercan visualized results with Leaflet.js and Matplotlib, delivering actionable insights into parking usage. He also improved repository maintainability by standardizing pipelines, cleaning up artifacts, and updating documentation. His work emphasized security by hardening credential management and enhanced onboarding efficiency through clear commit history and organized project structure.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

26Total
Bugs
0
Commits
26
Features
5
Lines of code
66,006
Activity Months2

Work History

December 2024

8 Commits • 2 Features

Dec 1, 2024

December 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.

November 2024

18 Commits • 3 Features

Nov 1, 2024

Month: 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

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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

1 repo

Overview of all repositories you've contributed to across your timeline

Chameleon-company/MOP-Code

Nov 2024 Dec 2024
2 Months active

Languages Used

CSVGit IgnoreGitattributesHTMLJSONJavaScriptJupyter NotebookPython

Technical Skills

API IntegrationBigQueryCloud ComputingCloud ConfigurationCode CleanupCode Commenting

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