Anju Suresh

Anju Suresh

Data Services Lead @ QBE Insurance Group

About Anju Suresh

Anju Suresh is a Data Services Lead at QBE Insurance in Sydney, Australia, with extensive experience in data visualization, analytics tools, and programming languages. She has held various roles in prominent companies, including EY and Infosys, and has a strong educational background in Information Technology.

Work at QBE Insurance Group

Anju Suresh has been serving as the Data Services Lead at QBE Insurance Group since 2021. In this role, she is responsible for overseeing data services initiatives and implementing data-driven strategies to enhance business operations. Her position is based in Sydney, New South Wales, Australia, where she has contributed to the company's data management and analytics capabilities.

Education and Expertise

Anju Suresh completed her Bachelor of Engineering (B.Eng.) in Information Technology at Dr. D. Y. Patil Institute of Engineering & Technology in Pune from 2005 to 2009. Prior to this, she achieved her Secondary School Certificate (SSC) at WEES, studying there from 1997 to 2003. She possesses expertise in various data visualization and analytics tools, including Spotfire, Tableau, and Qlikview, and is proficient in programming languages such as R, Javascript, and Python.

Professional Background

Anju Suresh has a diverse professional background in data services and analytics. She worked at EY as a Senior Consultant from 2013 to 2016 in Cochin, India, and later transitioned to EY Analytics (Asia-Pacific) in Sydney, where she held the positions of Senior Consultant from 2016 to 2019 and Manager from 2019 to 2021. Before her tenure at EY, she was a Senior Software Engineer at Infosys from 2009 to 2013 in Bangalore, Karnataka, India.

Technical Skills and Tools

Anju Suresh has developed a strong skill set in various technical tools and technologies. She is experienced in using SAP Business Objects Data Services (SAP BODS) and has proficiency in Microsoft Business Intelligence tools, including MS BI, SSIS, SSRS, and SSAS. Additionally, she has worked with several database technologies such as SQL Server, Oracle, and MongoDB, which enhances her capabilities in data management and analytics.

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