Shivam Tiwari
About Shivam Tiwari
Shivam Tiwari is a Digital Transformation Engineer & Analyst at Emerson in Noida, India, with a background in mechanical and power engineering.
Current Role at Emerson
Shivam Tiwari currently serves as a Digital Transformation Engineer & Analyst at Emerson in Noida, Uttar Pradesh, India. In this role, his responsibilities include creating digital twins that integrate cloud services with machine learning and AI systems. Additionally, Shivam trains plant operators on the use of these digital twins, particularly after implementing changes during factory acceptance tests. His work focuses on using data analysis to enhance resource efficiency in power plants.
Past Employment at Emerson
Before his current role, Shivam Tiwari held multiple positions at Emerson. He worked as a Project Engineer from 2019 to 2020 in Pittsburgh, Pennsylvania, United States, and as a Simulator Engineer from 2016 to 2019 in the Noida Area, India. At Emerson, he developed high fidelity simulation models for power plants using datasets from Ovation Advanced applications.
Educational Background
Shivam Tiwari completed his B.Tech in Mechanical Power Engineering from the National Power Training Institute in Delhi, where he studied from 2012 to 2016. During this time, he focused on power plant design, operation, power generation, and efficiency enhancement. Prior to this, he studied Science with Mathematics at S.S.D. Saraswati Bal Mandir in Punjabi Bagh, achieving his Intermediate in Science after 14 years of schooling, from 1997 to 2011.
Early Career at National Power Training Institute
While pursuing his B.Tech at the National Power Training Institute, Shivam Tiwari was based in the NTPC campus, Badarpur, New Delhi from 2012 to 2016. Here, he gained a robust foundation in mechanical engineering principles focused on power plants, which would later inform his professional work at Emerson.
Expertise in Digital Twins and Data Analysis
Shivam Tiwari has specialized expertise in creating digital twins that integrate cloud services with machine learning and AI systems. He is responsible for the development and delivery of these digital twins to customers. His role also involves significant data analysis focused on power plant data to enhance resource efficiency, ensuring that all necessary modifications are made during the factory acceptance test phase.