Subburam S
About Subburam S
Subburam S is an Assistant Manager at LatentView Analytics in Chennai, India, with six years of experience in building machine learning infrastructure and analyzing user behavior. He has a background in engineering and management, having worked with various companies and led projects in data analytics and machine learning.
Work at LatentView Analytics
Subburam S has been serving as an Assistant Manager at LatentView Analytics since 2018. In this role, he has contributed significantly to the development of a scalable Machine Learning Infrastructure on AWS, which supports over 40 data science teams in their research and development activities. One notable project includes his involvement in a Covid vaccine research program for a leading UK-based pharmaceutical company. His work emphasizes the application of advanced analytics and machine learning to address complex business challenges.
Education and Expertise
Subburam S completed his Post Graduate Diploma in Management (PGDM) with a focus on Marketing and IT from the Indian Institute of Management, Tiruchirappalli, from 2014 to 2016. He earned a Bachelor of Engineering (B.E.) in Electronics and Communications Engineering from R.M.D Engineering College, where he studied from 2006 to 2010. His foundational education in Maths and Computer Science was completed at Bhaktavatsalam Vidyashram from 1992 to 2006. This educational background supports his expertise in data analytics and machine learning.
Professional Background
Before joining LatentView Analytics, Subburam S held various positions in the technology sector. He worked as a Deputy Manager at HCL Technologies in the Infrastructure Services Division from 2016 to 2018. Prior to that, he served as a Systems Engineer at Tata Consultancy Services from 2010 to 2014. He also gained experience as a Summer Intern at MyDeals247 eCommerce Pvt Ltd in 2015. His diverse background in technology and analytics has equipped him with a robust skill set.
Achievements in Data Analytics
Subburam S has implemented several notable projects in data analytics. He automated an NLP pipeline to source, analyze, and monitor customer feedback, achieving a 94% accuracy with a BERT-based emotion classifier. He also managed the development of an Urban Mobility Intelligence Platform for a prominent German automaker, focusing on customer driving behavior analysis using IoT data. Additionally, he led projects involving market share insights dashboards using visualization tools such as Tableau, PowerBI, and QlikView.
Machine Learning and AI Initiatives
In his role at LatentView Analytics, Subburam S has been involved in various machine learning and AI initiatives. He implemented Edge Analytics-based Visual Inspection using a neural network model that improves over time with expert feedback, utilizing the 'man in the loop' concept. He also analyzed user behavior on a video streaming platform to understand video abortion rates and content search success, employing click stream data and Tableau dashboards to derive insights.