Transforming raw data into useful information for decision-making. Ability to collect, clean and structure data from various sources, and to analyze it using statistical tools and the R language. Designing clear and relevant visualizations (dashboards, graphs, performance indicators). Proficiency in interpreting results, univariate and multivariate statistical analyses, regression models and clustering techniques, as well as in formulating operational recommendations. Ability to communicate analyses to non-technical audiences, capacity to support organizations in implementing data-driven strategies, optimizing processes, defining key performance indicators, and teaching the basics of data analysis.