Chameleon-company/MOP-Code
Jul 2025 – Sep 2025
3 Months active
Languages Used
Jupyter NotebookMarkdownPythonSQLCSSHTMLJSONJavaScript
Technical Skills
API IntegrationData AnalysisData VisualizationJupyter NotebookMatplotlibPandas
aneeshpedram1
PROFILE
Aneeshpedram1
Aneesh Pedram developed data-driven property investment analytics within the Chameleon-company/MOP-Code repository, focusing on forecasting Melbourne property hotspots. He built and enhanced Jupyter Notebooks that collect, clean, and analyze real estate and population data, applying clustering and investment scoring to identify high-potential suburbs. Aneesh standardized Australian English spelling across the codebase and reorganized use-case directories to improve maintainability and onboarding. His technical approach leveraged Python, Pandas, and Scikit-learn for statistical analysis, data visualization, and machine learning. The work established reproducible workflows, clear documentation, and exportable results, supporting collaborative, scalable analytics without introducing major bugs during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
5
Lines of code
13,791
Activity Months3
Your Network
98 people
Work History
September 2025
5 Commits • 3 Features
Sep 1, 20252025-09 Monthly Summary: Focused on delivering data-driven property investment capabilities, codebase consistency, and scalable use-case organization to support repeatable analytics and faster decision support. Key features delivered include a forecasting notebook for property investment hotspots with suburb clustering and an investment score, Australian English spelling standardization across the repository, and a reorganization/designation of the UC00177 use-case directory. No major bugs fixed this month. Overall impact includes actionable investment recommendations, improved maintainability, and streamlined onboarding for new team members. Technologies/skills demonstrated include data science notebook workflows, clustering/ scoring analytics, export packaging (HTML/JSON), and repository hygiene improvements.
5 Commits • 3 Features
Sep 1, 20252025-09 Monthly Summary: Focused on delivering data-driven property investment capabilities, codebase consistency, and scalable use-case organization to support repeatable analytics and faster decision support. Key features delivered include a forecasting notebook for property investment hotspots with suburb clustering and an investment score, Australian English spelling standardization across the repository, and a reorganization/designation of the UC00177 use-case directory. No major bugs fixed this month. Overall impact includes actionable investment recommendations, improved maintainability, and streamlined onboarding for new team members. Technologies/skills demonstrated include data science notebook workflows, clustering/ scoring analytics, export packaging (HTML/JSON), and repository hygiene improvements.
September 2025
August 2025
3 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on delivered features, bug fixes, impact, and skills demonstrated. The work centers on the Melbourne Property Investment Hotspots Forecasting Notebook in the MOP-Code repository, with clear versioning and documentation to support data-driven investment decisions.
August 2025
3 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on delivered features, bug fixes, impact, and skills demonstrated. The work centers on the Melbourne Property Investment Hotspots Forecasting Notebook in the MOP-Code repository, with clear versioning and documentation to support data-driven investment decisions.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Chameleon-company/MOP-Code focused on delivering foundational scaffolding to accelerate future development and improve project organization. Delivered a playground scaffolding improvement by creating aneesh-pedram directory with a .gitkeep to ensure Git tracking and readiness for future work. This groundwork supports faster onboarding, experiments, and modular development within the playground environment. No major bug fixes were reported this month; the primary value was enabling a stable baseline for upcoming features and experiments.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Chameleon-company/MOP-Code focused on delivering foundational scaffolding to accelerate future development and improve project organization. Delivered a playground scaffolding improvement by creating aneesh-pedram directory with a .gitkeep to ensure Git tracking and readiness for future work. This groundwork supports faster onboarding, experiments, and modular development within the playground environment. No major bug fixes were reported this month; the primary value was enabling a stable baseline for upcoming features and experiments.
July 2025
Activity
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Quality Metrics
Correctness91.0%
Maintainability91.0%
Architecture91.0%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJSONJavaScriptJupyter NotebookMarkdownPythonSQL
Technical Skills
API IntegrationCode RefactoringData AnalysisData CleaningData VisualizationExploratory Data Analysis (EDA)File ManagementJupyter NotebookLinguistic StandardizationMachine LearningMatplotlibNotebook DevelopmentNumPyPandasRefactoring
Repositories Contributed To
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