Key Skills

Software

Labelbox

LabelImg

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Top Data Types

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Classification

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Freelancer Overview

I am an Informatics Engineering graduate with strong experience in data labeling, data preprocessing, and AI training data preparation. My background includes developing and cleaning image datasets, particularly in environmental and biological research such as plankton image classification using hybrid deep learning models (CNN–ELM, SVM, and Random Forest). I have hands-on skills in Python (pandas, scikit-learn), data normalization, and label encoding to ensure consistent and high-quality datasets for model training. In addition to technical proficiency, I have a systematic and detail-oriented approach to annotation and data quality management. I am passionate about contributing to AI and computer vision projects, especially those related to environmental sustainability, research data, and intelligent image recognition systems.

Labeling Experience

Education

Work History