Contributed to industrial projects focused on process optimisation through data-driven approaches. Performed data cleaning, transformation, and exploratory analysis on large datasets. Developed metrics and dashboards to support decision-making in bidding and operational processes. Participated in the implementation of AI agent-based solutions, collaborating with multidisciplinary teams to integrate data analysis into production environments.

Worked on the analysis of data generated by Monte Carlo simulations for subatomic physics research. Conducted exploratory and statistical analysis of simulation outputs, estimated relevant physical parameters, and validated result consistency using quantitative methods. Developed reproducible data analysis and visualisation pipelines in Python and communicated findings to support scientific interpretation and research decision-making.