Omprakash Kaarupathi
About Omprakash Kaarupathi
Omprakash Kaarupathi is a Principal Data Analyst with extensive experience in data analysis across various industries, including banking and insurance. He has worked for notable companies such as BMJ, Willmott Dixon, and QBE Insurance, and holds a Master of Science in Computer Science from the University of Bath.
Current Role as Principal Data Analyst
Omprakash Kaarupathi serves as a Principal Data Analyst at QBE Insurance since 2023 in London, England. In this role, he focuses on advanced data analysis and project management, utilizing his extensive experience in the field. His responsibilities include overseeing data-driven projects and implementing analytical solutions that support business objectives.
Previous Experience at QBE Insurance
Before his current position, Kaarupathi worked at QBE Insurance as a Senior Data Analyst from 2020 to 2023. During this time, he contributed to various data analysis initiatives, enhancing the company's data capabilities. His tenure at QBE Insurance began with a 9-month role as a Business Intelligence Analyst in 2020.
Professional Background in Data Analysis
Kaarupathi has a strong background in data analysis and requirements analysis across multiple industries, including banking, insurance, publishing, and construction. His experience spans over a decade, with significant roles at organizations such as BMJ and Willmott Dixon, where he served as a Business Intelligence Analyst from 2012 to 2020.
Education and Qualifications
Kaarupathi holds a Master of Science (M.Sc.) in Computer Science from the University of Bath, where he studied from 2010 to 2011. He also earned a Bachelor of Engineering (B.E.) in Electrical, Electronics, and Communications Engineering from Anna University, completing his degree from 2001 to 2005. His educational background supports his expertise in data analysis and technology.
Technical Skills and Expertise
Kaarupathi has expertise in implementing SAP Business Objects and Power BI solutions, which are essential for data visualization and reporting. He is experienced in using SQL Server Integration Services (SSIS) for data integration tasks and proficient in Dimensional Modelling, crucial for data warehousing projects. He also utilizes SCRUM and Agile methodologies to enhance project management and delivery.