Nedjoua Berbara
INGENIEUR INFORMATIQUE
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نبذة
I hold a Master's in Artificial Intelligence and Digitalization from Ibn Khaldoun University, Tiaret, where I built a technical foundation across machine learning, data science, NLP, and computer vision. My work sits at the intersection of applied AI and real-world systems — from statistical modeling to database architecture to remote sensing applications.
One of the projects I'm most invested in is yield prediction using remote sensing data for precision agriculture.
It pushed me to work across the full pipeline: preprocessing satellite imagery, building segmentation models, and translating outputs into something practically useful.
I work comfortably in Python and Java, reach for SQL and NoSQL solutions depending on the problem, and have a genuine interest in how AI methods transfer across different domains — healthcare, agriculture, industry, business intelligence.
I'm based in Algeria and open to roles that challenge me technically, whether that's in research, applied engineering, or data-focused product work.
الخبرة
Yield Prediction using Remote Sensing
Developed a machine learning pipeline for crop yield prediction using remote sensing imagery as part of a precision agriculture initiative. Built and evaluated a segmentation model to extract relevant features from satellite data, then applied statistical modeling techniques to estimate yield outcomes. The project required working across data preprocessing, model development, and domain-specific feature engineeringالتعليم
ماستر - الذكاء الاصطناعي والرقمنة - جامعة ابن خلدون تيارت (2025)
