Volunteer at Think Blue Data

Helped in annotation of complete dataset of building topology, passive features and building type

Assisted in developing a model dataset for societal planning in Asian countries specifically Thailand

Contributed to data quality improvement and annotation accuracy

As a volunteer at Think Blue Data, I contributed to a significant urban planning project focused on Thailand and other Asian countries. The project involved comprehensive data annotation and model dataset development for societal planning initiatives.

Key Contributions

Annotated extensive datasets of building topology and passive features
Developed structured datasets for urban planning models
Focused on Thailand-specific architectural and urban patterns
Enhanced data quality through careful annotation and validation

Technical Work

Utilized Label Studio for efficient data annotation
Applied machine learning principles to data organization
Implemented AI-driven annotation quality checks
Contributed to building type classification systems

Project Impact

Improved dataset accuracy for urban planning models
Supported sustainable development initiatives in Thailand
Contributed to regional architectural analysis
Enhanced societal planning data infrastructure

Skills Development

This volunteer experience enhanced my expertise in data annotation, machine learning applications in urban planning, and understanding of architectural topology analysis. Working with international datasets provided valuable insights into cross-cultural urban development patterns.

Certificate

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