Aruhn Ramasubramanian
About Aruhn Ramasubramanian
Aruh Ramasubramanian is an Associate Director at LatentView Analytics, where he has worked since 2024. He has extensive experience in data strategy, machine learning, and behavioral finance, having held various roles in multiple companies over the past two decades.
Current Role at LatentView Analytics
Aruh Ramasubramanian serves as Associate Director at LatentView Analytics since 2024. In this role, he engages in various functions including go-to-market strategies, consulting, capability building, and research and development. His work focuses on innovation and business development, contributing to the company's growth and service delivery in the analytics sector.
Previous Experience at LatentView Analytics
Prior to his current position, Aruh Ramasubramanian worked as a Principal Consultant at LatentView Analytics from 2019 to 2024. During this five-year tenure, he was involved in projects that utilized machine learning, natural language processing, and applied statistics, enhancing the company's analytical capabilities in the Chennai area.
Professional Background in Analytics and Technology
Aruh Ramasubramanian has a diverse professional background in analytics and technology. He worked at Mastek Ltd as a Technical Analyst from 2007 to 2014 and later as a Solution Architect from 2014 to 2017. His experience also includes a role as a Senior Consultant at Larsen & Toubro Infotech from 2017 to 2019. Additionally, he began his career as a Database Developer at Sankara Nethralaya Medical Research Foundation from 2002 to 2006.
Educational Qualifications
Aruh Ramasubramanian studied at the University of Madras, where he earned an MBA with a focus on Computer Applications and Marketing. His foundational education was completed at St. Mary's Higher Secondary School. His academic background supports his multi-disciplinary practice in data strategy, engineering, and enterprise data architecture.
Skills and Areas of Expertise
Aruh Ramasubramanian possesses a range of skills in cloud platforms, including Azure and AWS. He has expertise in behavioral finance, consumer behavior, and behavioral economics. His work incorporates machine learning and applied statistics, and he specializes in socio-economic sciences and linguistics, contributing to his comprehensive approach in the analytics field.