Rawen Badi
@rawenbadi
I build AI-ready datasets and machine learning projects with Python, data preprocessing, and model evaluation.
What I'm looking for
I've built EmoNet, an EEG-based emotion classification platform using Python, TensorFlow, Google Colab, React, and Flask. I preprocessed structured datasets and implemented and evaluated CNN, LSTM, and TCN models.
My work focuses on data annotation, data labeling, data quality, validation, dataset analysis, and identifying errors or inconsistencies. I document results carefully and communicate technical findings clearly.
During internships at ADDINN and STB — Société Tunisienne de Banque, I contributed to web development and digital workflows while following technical instructions, professional procedures, and confidentiality requirements.
I'm pursuing remote AI training and data annotation work where I can help produce high-quality datasets and improve AI systems.
Experience
Work history, roles, and key accomplishments
Web Development Intern
ADDINN
Participated in web development tasks within a professional environment, working with web technologies and project requirements. Followed technical instructions and development workflows, and collaborated on assigned technical tasks.
Education
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Rawen hasn't added their education
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