Basile M

· Technical lead on an AI solution for the urban sector: Genetic Algorithm in Python, covering the full pipeline from data ingestion to model 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.

Consultant in statistics/data science for industries in the EMEA region. Leading projects for several industries (mentoring/consulting): Finance, Manufacturing. Data Science and statistical analysis mentor (use of English and French). Supporting the development of a marketing campaign for the South American region (use of Spanish).

Freelancer in data science/statistics financial derivatives (use of Python and R). Support for various industries: Financial Mathematics, Economics and Science.