National University of Singapore

securities firm), where I benchmarked a competitor super-app through 500+ user reviews and 50+ usability tests to help shape a fintech super-app roadmap, and at Company B (a customer-messaging SaaS company), where I used Python and Tableau to automate reports, analyse churn, and visualise customer behaviour, seeing how analytics turns intuition into measurable impact. Founding my e-commerce wellness venture reinforced my belief in data. As we scaled a 15-product line, every strategic decision, from pricing and inventory to segmentation, depended on analytics; we used price-elasticity and regression models to optimise conversions and margins, forecast demand, and even quantified customer queries to uncover behavioural patterns. This data-driven approach has been central to the venture's growth across India. Now, in the short term, I aim to strengthen the venture's data ecosystem with advanced analytics and evolve from descriptive to intelligent systems, using machine learning to automate demand sensing and build scalable partnerships. Long term, my ambition is to position it as a global wellness company, which will demand robust data infrastructure I intend to build with strong technical depth rather than external experts. The MSBA at NUS offers exactly this blend of rigour and application: modules like Analytics in Managerial Economics, Big Data Analytics Technology, and Neural Networks & Deep Learning will let me strengthen pricing and resource allocation, convert experiences into measurable datasets, and build predictive models. Beyond academics, I'll join the Business Analytics Consulting Team for live projects and the Entrepreneurship Club to share startup learnings and collaborate within Singapore's innovation ecosystem. Singapore's connectivity across Asia and its innovation ecosystem make it the ideal hub to refine and scale data-driven, culturally resonant wellness solutions.