Babu Narayanan R
About Babu Narayanan R
Babu Narayanan R is the Director of Data Architecture at GAIN Credit, where he has worked since 2021. He previously held positions at Verizon, Tata Consultancy Services, Infosys, and HCL Technologies, and has expertise in data engineering, analytics, and machine learning.
Work at GAIN Credit
Babu Narayanan R serves as the Director of Data Architecture at GAIN Credit, a position he has held since 2021. In this role, he focuses on optimizing technology platforms to reduce costs associated with Data and Business Intelligence (BI). He has led significant initiatives, including the transition from a legacy system to a modern Data BI stack utilizing MySQL, Python, Tableau, and Airflow. His work addresses challenges related to data quality and access, enhancing the overall data architecture of the organization.
Previous Experience in Data Architecture
Before joining GAIN Credit, Babu Narayanan R held several key positions in the field of data architecture and analytics. He worked as a Principal Architect at Verizon from 2015 to 2018, where he contributed to various projects in the Chennai Area, India. Prior to that, he served as a Technical Architect at Infosys from 2007 to 2009 and as a Solution Architect at HCL Technologies Ltd from 2009 to 2015. His career began at Tata Consultancy Services, where he worked as an IT Analyst from 2002 to 2007.
Education and Expertise
Babu Narayanan R has a strong educational background in engineering and analytics. He studied at the Indian Institute of Technology, Madras, where he received training in Advanced Analytics. He also holds a Master of Technology (M.Tech.) from Regional Engineering College, KU, a Master of Science (M.Sc.) from St. Joseph's College, and a Bachelor of Science (B.Sc.) from St. Xavier's College. His academic qualifications complement his extensive experience in data architecture and analytics.
Achievements in Data Engineering
Babu Narayanan R has made significant contributions to the field of data engineering. He led the development of data catalogues and data health dashboards, enhancing self-service BI capabilities within organizations. Additionally, he architected a modern machine learning deployment stack on AWS, which includes a feature store for agile model deployment and fine-tuning. He also has a patent pending grant in the field of data engineering or analytics, reflecting his innovative approach to data solutions.