Matteo Pesarin

Project Manager for a pan-European contractual renewal and technology modernization initiative (€3M ARR), coordinating operations, delivery, and service continuity across 12 financial institutions and one large industrial group. Oversaw multiple parallel projects, primarily applying a Waterfall delivery approach, with full responsibility for budgets. Collaborated directly with the CEO on strategic product and transformation initiatives, including AI-based compliance solutions.

Led delivery of a mobile and web digital platform and mobile app for the German market using Scrum, enhancing customer experience and digital services. Defined and translated business requirements into clear documentation, scope, and delivery plans aligned with strategic goals. Ensured quality, stakeholder alignment, team collaboration, and effective change management to support solution adoption. Contributed to R&D initiatives in collaboration with subject-matter expert

- System Integration & EDI Analyst in a global digital transformation program for Amplifon, supporting the design of a new operating model and centralized procurement processes across EMEA, US, and APAC (15 countries). - Designed the new EDI communication channel, acted as main point of contact, and supported suppliers during development. - Analyst in Bata’s Omnichannel commerce transformation program, working closely with the Project Manager to coordinate daily activities and stakeholder communication.

- Responsible for analyzing and implementing new numerical methods for partial differential equations in order to extend existing C++ code. The area of application was nonlinear elasticity problems. - Active participation in the seminars of the Numerical Mathematics research team. Programming & Software: C++ (scientific computing), object-oriented programming (OOP), scientific libraries (e.g. deal.II), code documentation with Doxygen, and Linux environment.

Main subjects: - Numerical mathematical analysis for partial differential equations - Stochastic differential equations - Optimization

Mathematical engineering with a focus on scientific computing, i.e. the use of advanced mathematics and numerical algorithms to model, simulate and solve complex real‑world problems on computers. - Numerical analysis and numerical linear algebra - Numerical methods for differential equations and PDEs - Scientific programming - High‑performance and parallel computing - Mathematical modelling of physical/engineering systems - Optimization and sometimes basic machine learning / data analysis

- Proficiency in core mathematics: algebra, geometry, analysis, probability/statistics, numerical analysis, operations research.​ - Basic scientific programming (e.g., MATLAB, Python/R basics) - Understanding of physics, chemistry fundamentals, and introductory engineering - Ability to build simple mathematical models, perform numerical computations, analyze data, and apply math