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Freelancer Overview

I am an Electronics & Communication Engineering graduate with hands-on experience in data preprocessing, feature extraction, and machine learning workflows, particularly within biomedical and IoT domains. I have developed end-to-end pipelines for projects such as ECG-based emotion and stress recognition, where I handled raw signal data, performed filtering, labeling, and feature extraction, and trained models using Python and TensorFlow. My technical skills include Python, C, MATLAB, Arduino, and version control with Git, and I am comfortable working in Linux environments. With a strong foundation in data annotation, signal processing, and reproducible workflow development, I am eager to contribute to data labeling and AI training data roles where attention to detail and data quality are paramount.

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