Meera is a recent Business Analytics MSc graduate from Warwick Business School with a background as a top-ranked Business Administration graduate from VIT. She has practical experience in healthcare analytics, using Python and Power BI to build predictive models and create impactful data visualizations that drive business decisions.
Outside of her analytical work, Meera is deeply interested in the intersection of art, technology, and philosophy. She explores the mathematical patterns in poetry and conceptualizes AI applications for the art world, inspired by visits to galleries like the National Gallery in London.
She won the "Best Paper Award" at the ASIFA’26 International Conference for her work on AI in fashion technology.
Read the full overview →They don’t appreciate bells and whistles unless backed by data. They enjoy working alone and do not rely on others very often. They prefer to do logical analysis and value evidence over emotions.
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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