Hind Djebien

WORK HISTORY

EDUCATION

ABOUT HIND DJEBIEN

Data Scientist & AI Engineer passionate about building intelligent, end-to-end solutions. I specialize in modern AI systems, blending machine learning, deep learning, and generative AI to solve real-world problems across prediction, automation, and data-driven decision-making.I work extensively with Python, R, and the modern data science stack (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). My experience includes developing and evaluating models ranging from classical ML (trees, SVMs, ensemble methods) to deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs.In recent projects, I’ve expanded into Generative AI and agentic AI, designing workflows that combine LLMs, retrieval-augmented generation (RAG), embeddings, and multi-agent reasoning. I enjoy building systems that not only analyze data but act, collaborate, and make decisions autonomously when given high-level objectives.Skilled in turning complex datasets into actionable insights, I leverage techniques like dimensionality reduction, interpretability methods, and time series forecasting to deliver value in production-oriented environments.Known for being curious, adaptable, and highly autonomous, I thrive in roles where I can explore new technologies, solve challenging problems, and transform advanced AI techniques into practical, impactful solutions.