Shreya Bhat

Data Quality Analyst @ Businessolver

About Shreya Bhat

Shreya Bhat is a Data Quality Analyst with a Master's Degree in Biomedical/Medical Engineering from Manipal Institute of Technology. She has extensive experience in data classification, signal processing, and a strong interest in neuroscience and cognitive science.

Current Role at Businessolver

Shreya Bhat serves as a Data Quality Analyst at Businessolver, a position she has held since 2021. In this role, she focuses on ensuring data integrity and quality within the organization's Benefits Administration Technology environment. Her work emphasizes a growth attitude and positive intent, contributing to the overall efficiency of data management processes.

Education and Expertise

Shreya Bhat holds a Master's Degree in Biomedical/Medical Engineering from Manipal Institute of Technology, where she studied from 2012 to 2014. Prior to that, she earned a Bachelor's Degree in Instrumentation Technology Engineering from B V B College of Engg. & Technology, HUBLI, from 2008 to 2012. Her academic background provides a strong foundation for her expertise in data classification and signal processing.

Professional Background

Shreya Bhat has a diverse professional background. She began her career as a Teaching Assistant at Manipal Institute of Technology in 2013. Following this, she worked as a Research Associate at St. John's Medical College from 2015 to 2016. She then transitioned to the tech industry as a Software Engineer at IGATE in 2014. Shreya later joined ReedGroup, where she held multiple roles, including Disability Case Manager and Case Manager for medical leave of absence, from 2017 to 2021.

Strengths and Interests

According to the Clifton StrengthsFinder assessment, Shreya Bhat possesses dominant strengths in Includer, Learner, Responsibility, Restorative, and Communication. She has a strong interest in neuroscience, experimental psychology, electrophysiology, and cognitive science. Shreya enjoys discussing these topics, reflecting her passion for learning and achieving clarity in product knowledge through qualitative work.

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