Ayoub Bouz

I’m a Senior Data Scientist with 5+ years of end-to-end experience designing, deploying, and industrializing Machine Learning and AI solutions for international, product-driven environments. I focus on building data products that generate measurable business value—from LLM-based assistants and risk-scoring engines to recommendation systems and real-time data pipelines.

I’m especially proud of turning advanced models into production systems. I’ve built RAG-based customer support assistants with agentic capabilities, engineered end-to-end audio processing pipelines for structured conversational histories, and improved prediction/recommendation performance by +20% through fine-tuning, robust cross-validation, and continuous monitoring (including drift detection and automated retraining triggers).

I communicate clearly with both technical and non-technical stakeholders, and I help teams build a data-driven culture across Product, Marketing, and Engineering. Whether it’s distributed risk modeling at large scale or scalable data pipelines integrating third-party sources, I partner closely to define data contracts, align ML initiatives with KPIs, and keep systems reliable with anomaly detection and continuous performance tracking.