Remya Raj
About Remya Raj
Remya Raj is a Principal Data Architect at Searce Inc, where she has worked since 2021. With a background in data architecture and analytics, she has extensive experience in developing AI/ML solutions and mentoring new professionals in the field.
Work at Searce
Remya Raj has been serving as Principal Data Architect at Searce Inc since 2021. In this role, she has focused on grooming and deploying freshers in the field of data architecture and analytics. Her responsibilities include leading the development of AI and machine learning solutions tailored for various industries, emphasizing intelligent use cases. Her tenure at Searce has contributed to the company's capabilities in data architecture.
Previous Experience at Capgemini
Prior to her current role, Remya Raj worked at Capgemini as a Senior Manager from 2010 to 2021. During her eleven years at Capgemini, she managed strategic consulting roles, particularly in data architecture and project delivery. Her experience at Capgemini provided her with a solid foundation in architecting Centers of Excellence and developing proposals, proof of concepts, and solution demonstrations.
Background in Software Engineering
Remya Raj began her career as a Senior Software Engineer at GE, where she worked from 2006 to 2010. This four-year experience in Hyderabad, Telangana, India, allowed her to build a strong technical foundation that has supported her subsequent roles in data architecture and analytics.
Education and Expertise
Remya Raj holds a Bachelor of Technology (BTech) degree in Electrical, Electronics, and Communications Engineering from NSS College of Engineering, Palakkad. Her educational background has equipped her with the technical knowledge necessary for her roles in data architecture and analytics. Additionally, she serves as a technical panel member for conducting training and interviews on SAP S/4HANA, SAP HANA, and BODS.
Achievements in Data Architecture
Throughout her career, Remya Raj has played a key role in architecting Centers of Excellence and has extensive experience in developing AI and machine learning solutions. Her contributions include creating proposals, proof of concepts, and solution demonstrations that have advanced the field of data architecture across various industries.