Nadine Zayene

3rd-year Computer Engineering student at ESPRIT, specializing in Data Science. Passionate about leveraging technology to solve complex problems through data-driven insights and innovative solutions.Continuously expanding my expertise in blockchain development, machine learning, and software engineering. Committed to building impactful projects at the intersection of data science and emerging technologies.Always learning, always building. Currently looking for a 6-month internship in AI/ Data Science.

Data Science & Machine Learning intern with hands-on experience building production AI systems. At Spr01 Labs (June-Aug 2025), developed intelligent CV parser combining OCR, custom NER models, and local LLM integration (Llama 3), plus recommendation engine serving 1,000+ users. At Tunis Re (July-Aug 2024), built geospatial ML models for natural catastrophe prediction. Created multiple AI projects: PickMe (RAG-powered recruitment chatbot with BERT and explainable AI), TacticSense (fraud detection and matchmaking platform), and SnapGreen (full-stack web app with real-time analytics). Strong track record in NLP, computer vision, anomaly detection, and deploying ML models via Flask/FastAPI APIs.

Final-year Data Science Engineering student at ESPRIT Private School of Engineering (international class, 2021-2026), specializing in AI, machine learning, and deep learning. Comprehensive training in Python, TensorFlow, PyTorch, NLP, computer vision, and full-stack development. Hold professional certifications from NVIDIA (Transformer-Based NLP Applications, Fundamentals of Deep Learning) and AWS (Cloud Computing). Strong foundation in algorithms, data structures, databases, and software engineering. Academic projects include building end-to-end ML pipelines, deploying models to production, and working with modern tech stacks (React, Node.js, Spring Boot concepts).