Carlamaria Cosenza

–Delivered product demos and training sessions for global airline clients, translating flight disruption management features into stakeholder-ready narratives – Designed onboarding programmes and structured documentation; – Facilitated cross-functional workshops aligning Product, Engineering and Business; – Wrote user stories from stakeholder requirements; coordinated feature launches managing dependencies and cross-team communication; – Built KPI dashboards tracking system health and product performance; – Conducted end-to-end testing and root cause analysis on production incidents

– Acted as point of contact between technical teams and customer operations – Communicated incidents and solutions clearly to non-technical stakeholders – Contributed to improving customer experience through proactive issue resolution – Produced clear reports supporting operational decisions

– Discovered new statistical behaviors in turbulent systems – Harmonized and structured heterogeneous data sources for systematic scientific analysis – Built end-to-end Python data pipeline for 2D reconstruction analysis of particle behavior in turbulent flow experiments – Developed novel quantitative models and statistical frameworks to identify previously unknown behavioral patterns in complex physical systems – Applied advanced statistical techniques (stochastic processes, machine learning algorithms) to analyze massive spatiotemporal datasets – Created custom Key Performance Indicators aligned with research objectives to track system behavior evolution over time – Transformed complex technical findings into clear, compelling visualizations using Python libraries (Matplotlib, Seaborn) – Delivered actionable insights to multidisciplinary research team through presentations and technical reports – Translated advanced mathematical concepts into accessible narratives for non-specialist audiences – Technical Environment: Python, NumPy, Pandas, Scikit-Learn, SciPy, Matplotlib, Seaborn, Anaconda