Smart Fleet Maintenance Summit
Improving the Circular Economy of
Rolling Stock Maintenance
16th & 17th November 2021, London
Virtual Event: Watch Live + Content Available On-Demand for 12 weeks
Curtis Wood (PhD) has three years of experience in predictive train maintenance and almost 20 years of experience in data analytics (previously working in atmospheric physics). Currently, Curtis works as a Data Scientist on predictive maintenance at VR FleetCare. In his work, he focuses on lifecycle optimization and lengthening for wheelsets. Most of his time is spent wrangling and analysing data from IOT sources on an in-house Data Platform using AWS, SQL, Python among other tools.