Tin-Tin I.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

Ecology Domain Expertise

biodiversity monitoring

rhino conservation

Top Data Types

Audio

Image

Text

Top Task Types

Land Cover Classification

Freelancer Overview

Ecology & Conservation Volunteer Assistant. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Don't disclose. Education includes Master of Science, Lund University (2025) and Bachelor of Science, University of Brighton (2024). AI-training focus includes data types such as Geospatial and Tiled Imagery and labeling workflows including Land Cover Classification.

Labeling Experience

Land Use and Land Cover Classification Project (Academic)

Don't discloseLand Cover Classification

Completed an academic land use and land cover classification project using remote sensing datasets. Applied machine learning approaches to classify land cover and performed evaluation of model outputs using confusion matrices and accuracy metrics. Analyzed sources of error including class confusion, geometric accuracy issues, and seasonal variation affecting classification quality. • Land cover classification using remote sensing imagery • Evaluation with confusion matrices and accuracy metrics • Analysis of class confusion, geometric accuracy, and seasonal variation • Use of GIS/spatial analysis tools for interpretation

2025 - 2025

Ecology & Conservation Volunteer Assistant

OtherLand Cover Classification

Assisted with biodiversity monitoring and ecological field activities that rely on geospatial observations for downstream labeling and validation. Supported data collection efforts for species observations and environmental measurements used to inform conservation datasets. Contributed to practical workflows involving field-based data gathering that can be used for training and evaluating environmental models. • Species observations and ecological field data collection • Support guiding students during field-based practical exercises • Participation in rhino conservation monitoring activities • Collaboration within international conservation teams

2025 - 2025

Education

Work History