Salma Belaicha

I’m a detail-oriented AI and Data Science graduate with hands-on experience in data annotation, image labeling, data preprocessing, and AI model evaluation. I follow structured guidelines to maintain high accuracy across large datasets, while staying organized and reliable in remote work. My focus is on data quality assurance—annotation, validation, and dataset preparation that helps models perform well.

In project work, I annotated image datasets for object detection and evaluated performance using Precision, Recall, and mAP, documenting experiments in Jupyter Notebook. I also prepared and cleaned structured datasets for machine learning, verifying consistency through exploratory data analysis and maintaining clear documentation of project workflows.