Consultant Profile

DBM

Dr Basile Marquier

Profile

I am a Chartered Statistician (CStat) accredited by the Royal Statistical Society, with extensive experience in statistical modelling, experimental design, and data-driven decision support. I work at the intersection of statistics, AI, and industrial analytics, helping organisations turn complex data into reliable, actionable insight. My expertise spans machine learning, Design of Experiments (DOE), Statistical Quality Analysis (SQA), and modern data platforms, including Python, R, Minitab, SPSS, Google Cloud Platform, and Databricks. I also develop advanced AI solutions, including Retrieval-Augmented Generation (RAG) systems and agentic workflows that integrate large language models with structured knowledge and business logic. I am particularly interested in building trustworthy AI systems grounded in robust statistical methodology and delivering actionable insight for industrial, research, and operational challenges.

Background

I am currently based at the University of Sheffield (AMRC), where I work on AI and advanced analytics applications in industrial research. I have extensive experience supporting organisations across manufacturing, pharma, and operational research, providing statistical consulting, experimental design, quality improvement, and AI system development. My career includes developing end-to-end analytics solutions, from data pipeline design to predictive modelling, AI deployment, and results communication. I have a strong focus on ensuring that statistical and AI solutions are robust, interpretable, and actionable, supporting decision-making in both research and industrial contexts.

Specialisms

Statistical Modelling & Predictive Analytics Machine Learning & AI Systems (Python, R) Design of Experiments (Factorial, Mixture, Response Surface Designs) Statistical Quality Analysis (Gage R&R, Control Charts, Capability Analysis) Model Validation & Uncertainty Quantification Industrial & Operational Analytics Cloud Data Platforms (Google Cloud Platform, Databricks / Spark) LLM-Based Solutions: RAG & Agentic AI Data Visualisation & Reporting (Microsoft Office, Python, R)