Siva Suthan T
About Siva Suthan T
Siva Suthan T is a Data Engineer currently employed at LatentView Analytics in Chennai, Tamil Nadu, India, where he has worked since 2019. He has a background in data analysis and engineering, with previous roles at Crayon Data and Mobius Knowledge Services, and holds a Master's degree in VLSI Design.
Current Role at LatentView Analytics
Siva Suthan T currently serves as a Data Engineer at LatentView Analytics, a position he has held since 2019. His work involves leveraging data engineering skills to support analytics initiatives within the organization. He operates from Chennai, Tamil Nadu, India, contributing to various projects that enhance data processing and analysis capabilities.
Previous Experience at LatentView Analytics
Prior to his current role, Siva worked as a Senior Analyst at LatentView Analytics from 2017 to 2019. In this capacity, he focused on data analysis and interpretation, providing insights that informed business decisions. His tenure at the company reflects his progression within the data analytics field.
Experience at Crayon Data
Siva Suthan T worked as a Data Analyst at Crayon Data from 2014 to 2016. During his time there, he was involved in analyzing data to drive business strategies and improve operational efficiency. This role contributed to his development in data analytics and reinforced his expertise in the field.
Early Career at Mobius Knowledge Services
Siva began his career as a Senior Research Analyst at Mobius Knowledge Services from 2007 to 2009. In this role, he conducted research and analysis to support various projects, laying the groundwork for his future roles in data analytics and engineering.
Educational Background
Siva Suthan T holds an Engineer's Degree in Electronics and Communication from Kamaraj College of Engineering and Technology, where he studied from 2003 to 2007. He also earned a Master of Engineering (ME) in VLSI Design from Francis Xavier Engineering College, completing his studies from 2012 to 2014. This educational background has equipped him with a strong foundation in engineering principles relevant to his career in data.