Andorra (EU.AD)

AD

Senior Planning Engineer, Bombardier Transportation UK Ltd, Crossrail Signalling Project

START Date
END Date
Experience Hours (Planning & Scheduling)
2700
Experience Hours (Cost Management)
250
Experience Hours (Forensic Analysis)
50

Bombardier Transportation Uk Ltd - Derby  My initial brief and goals was to fully develop a harmonised schedule for onboard signalling systems linked to the Crossrail Programme

Consultant & Trainer, KPMG Peat Marwick Project Management, Training

START Date
END Date
Experience Hours (Planning & Scheduling)
200
Experience Hours (Cost Management)
500
Experience Hours (Forensic Analysis)
600

Training manager developing over 2,00 staff

Blogger to 800 staff

Knowledte Mgr

Consultant, VG, VGI PMO

START Date
END Date
Experience Hours (Planning & Scheduling)
700
Experience Hours (Cost Management)
100
Experience Hours (Forensic Analysis)
700

Building a PMO supporting traditional and agile (SCRUM) and implementing Project Portfolio Management in a German SME Manufacturer.

Program Manager, IBM, Sales and Delivery

START Date
END Date
Experience Hours (Planning & Scheduling)
700
Experience Hours (Cost Management)
300
Experience Hours (Forensic Analysis)
300

In charge of integrated customer relationship, sales and delivery across EMEA for all IBM services to key global client in that region. Reporting to global IBM Integrated Account MD in Japan.

IBM Services included outsourcing (both IT and business), projects, software and hybrid cloud.

Fabio Ugolini

First Name
Fabio
Last Name
Ugolini
Professional Since
Oldest experience
Years Experience
9
LinkedIn Profile
www.linkedin.com/in/fabio-ugolini-01

Project management- Grant proposal writing (H2020 Innovation Actions,  Research and Innovation Actions, and Coordination and Support Actions)- Business plan writing (Market analysis, exploitation management, IP protection strategy)- Business coaching (specialty biomed/biotech)- Scheduling and task monitoring- Quality assessment of deliverablesSoftware- Data science: data mining, statistical inference, regression models, ordination analysis (R)- Tools and resources for in-silico biodiversity analys