Rumi Analytics

Rumi Analytics was created as an internal platform to help institutional investors and researchers make sense of over 3 trillion stock market data points processed daily. Designed as a powerful yet accessible research companion, the tool organizes complex datasets into intuitive visual insights, enabling faster and more informed investment decisions.

Working closely with engineers and data analysts, I led the design of the product from early exploration through implementation—defining the information architecture, data visualization patterns, and interface structure. The challenge was to transform fragmented manual workflows into a seamless, data-driven experience, all under a tight MVP deadline.

The design approach emphasized clarity and comprehension. Through iterative collaboration with researchers, we refined charts, tables, and interaction models to ensure that every visualization delivered meaning at a glance. Close partnership with the development team allowed rapid prototyping and issue resolution, ensuring that the visualizations accurately reflected live market data.