Sanjay Kumar Gilki
About Sanjay Kumar Gilki
Sanjay Kumar Gilki is a Senior Data Analytics and AI Architect currently working at Industrial Scientific in Bangalore, India. He has extensive experience in data architecture and analytics, having previously held positions at Ardonagh Analytics Lab, Intel Corporation, and TRUGlobal.
Current Role at Industrial Scientific
Sanjay Kumar Gilki serves as a Senior Data Analytics and AI Architect at Industrial Scientific, a position he has held since 2024. He works in a hybrid capacity from Bangalore Urban, Karnataka, India. In this role, he focuses on leveraging data analytics and artificial intelligence to enhance operational efficiency and decision-making processes.
Previous Experience at Ardonagh Analytics Lab
Prior to his current role, Sanjay worked at Ardonagh Analytics Lab as a Senior Data Architect and BI, Analytics & AI Consultant from 2022 to 2023. During his four-month tenure in Ireland, he optimized SQL script compute time from 23 minutes to just 4 minutes, significantly improving the efficiency of data processing and analytics.
Background in Data Architecture and Analytics
Sanjay has extensive experience in data architecture and analytics. He previously worked at Intel Corporation as an ETL Developer and ETL Architect from 2008 to 2012, and as an IT System Integrator and Enterprise Architect from 2004 to 2008. His roles involved designing and implementing data solutions that contributed to significant operational savings.
Education and Qualifications
Sanjay Kumar Gilki holds a Master of Business Administration (MBA) in Business Analytics from Sunstone Business School, completed in 2016. He also earned a Bachelor of Engineering (B.E) in Computer Science from P.D.A Engineering College. Additionally, he has a Diploma in Electronics and Communication from Govt. Polytechnic and completed his S.S.L.C at Junior Technical School.
Achievements in Cost Savings and Efficiency
Throughout his career, Sanjay has achieved notable results in cost savings and operational efficiency. At Ardonagh Lab, he saved approximately $20,000 per month in operational costs through optimal design and scalable cloud data platform projects. He also contributed to a $5 million year-over-year savings by expanding the FDMS to over 25 countries.