• Development of new Bayesian estimation methods in order to find cointegrating relationships between time series: use of these models using R with Read more R Studio. • Bayesian Statistics and MCMC procedures. • Helped and support for students of BSc, Master levels and PhDs. • Replaced my co-supervisor by giving lectures of Bayesian Statistics to Master students.

• Genie Mathematiques: Statistics and Computing. Financial Mathematics. Use of C/C++, Matlab and SQL. • IT skills development: C/C++, Read more SAS. • Internship at the Ministry of Work in Paris (2010) as part of the master thesis. Use of SAS and study the distribution of bonuses in the French civil service. • Internship at the MAASTRO clinic in Maastricht, Netherlands (2012). Use of Matlab to detect cancer tumors in the oesophagus of a cohort of patients and statistical study of the impact of radiotherapy on them.

• Technical lead on an AI solution for the urban sector: Genetic Algorithm in Python, covering the full pipeline from data ingestion to model Read more development and ML Ops deployment. • Contributed to end-to-end ETL pipelines using Apache Spark and Databricks (Microsoft Azure) to process high-volume industrial data from a Data Warehouse. Analysed manufacturing quality of final data (Rolls-Royce project): ANOVA and DoE. • Contributed to improve the ETL pipeline and analysis for image processing and defect detection (Python). • Explored LLM architectures by developing a mini-LLM to understand algorithmic mechanics; researched Retrieval-Augmented Generation (RAG) approaches and designed a prototype RAG framework for document analysis and knowledge extraction at AMRC. • Conducted applied research on sustainable data storage strategies in the manufacturing sector, focusing on reducing greenhouse gas emissions through techniques such as data deduplication, summarization, archiving policies, and energy-efficient infrastructure design.

• Trainer in Data Analytics with Minitab’s core and advanced technical training courses at various global customer locations: Data Analytics, Read more Statistical Quality Analysis, Designs of Experiments and Statistics modelling. • Conducts on-site and/or in-house training classes for customers and/or employees on the features and operation of products. • Liaise with marketing to coordinate marketing activities focused on Education and Services within the Customer Engagement Lifecycle.

• Contributed to the design and implementation of a real-time fraud detection system, integrating R/Python models with data pipelines sourced from Read more Google Cloud Platform (BigQuery) and Teradata, significantly enhancing customer protection. • Built robust data extraction and transformation workflows using SQL, enabling scalable and timely access to transactional and behavioural data for fraud analysis. • Collaborated cross-functionally to deliver end-to-end analytical solutions, from data ingestion to feature engineering and ML Ops deployment, including implementing hot rules and contributing to the real-time fraud payment prevention system. • Produced interactive, insight-rich deliverables via Jupyter Notebooks, supporting stakeholders with clear and actionable visualizations. • Applied advanced statistical analysis and anomaly detection techniques to identify fraud patterns, reduce false positives, and inform policy.

• Developing resources and lectures in statistics in R, SPSS and Excel, Unsupervised and supervised techniques. • Support in R/Python/SPSS/Excel Read more and Statistics theories and practice for students from all levels at the University: PhD, Masters, Bachelors.