Experience

INGEMAN

• France
• Industrial Machinery Manufacturing

• Asset Management and Maintenance Consultant

  • Sep 2020 - Present

  - PhD Research Collaboration Grant - Digitalisation of spare parts management solution for Enagas (an international leader in the development, operation and maintenance of energy infrastructure) - CBM and Dynamic Fleet management solutions development for Talgo (Patentes Talgo S.L.U) in spanish high speed trains - Asset Health Index development to improve the management of valuable assets lifecycle - PhD Research Collaboration Grant - Digitalisation of spare parts management solution for Enagas (an international leader in the development, operation and maintenance of energy infrastructure) - CBM and Dynamic Fleet management solutions development for Talgo (Patentes Talgo S.L.U) in spanish high speed trains - Asset Health Index development to improve the management of valuable assets lifecycle



NHS England

• Hospitals and Health Care
• 200 - 300 Employee

• Operations Consultant

  • Sep 2021 - Feb 2022

  Part time Operations Consultant to the NHS Addenbrooke's Hospital. Due to the complex Covid19 situation, the project consisted on building simulation models to optimise the Emergency department (A&E) patients flow. Part time Operations Consultant to the NHS Addenbrooke's Hospital. Due to the complex Covid19 situation, the project consisted on building simulation models to optimise the Emergency department (A&E) patients flow.

• Assistant researcher

  • Jul 2019 - Oct 2019

  Development of a cloud platform for intelligent assets management and predictive analytics Development of a cloud platform for intelligent assets management and predictive analytics



Politecnico di Milano

• Italy
• Research Services
• 700 & Above Employee

• Intern

  • Jan 2018 - Jun 2018

  Development of a digital twin model for equipment health assessment within the MAYA EU research project at the Industry 4.0 Laboratory. Development of a digital twin model for equipment health assessment within the MAYA EU research project at the Industry 4.0 Laboratory.