Shruthi is an experienced Applications Engineer with a decade of expertise in automating workflows with Python and enhancing PPM platforms, primarily at Oracle Cerner. She holds a Masters degree from St Aloysius Institute of Management & Information Technology and is now transitioning her career to focus on Data Analytics, leveraging her skills in SQL, Python, Tableau, and Power BI.
Outside of her direct role, Shruthi is deeply committed to continuous professional development. She actively pursues new knowledge by completing workshops on tools like Google Data Studio and earning certifications in areas such as Data Analytics from Deloitte and AI Foundations from OCI, demonstrating a strong drive for self-improvement and learning.
After ten years of improving systems, she realized her core passion is using data to solve problems, which prompted her current career pivot.
Read the full overview →Unless the value is proven by data, they are unlikely to value fancy features. They prefer to analyze logically and value objective facts over emotions. They like to take decisions independently and do not seek others' support often.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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