DQaaS is an AI-powered data quality platform built to help enterprises clean, validate, and transform large datasets effortlessly.

Designed for data stewards, analysts, and IT admins, the platform automates error detection, applies intelligent rules, and enables real-time cleansing through an intuitive interface.

Designed end-to-end UX for dataset upload, profiling, rule application, and export

• Created an intuitive rule engine with AI-powered suggestions for data validation

• Built reusable UI components and maintained consistency through a scalable design system

• Developed features like “Combine Columns,” “Pin Columns,” and “Interactive Cleansing” to enhance usability

• Reduced manual cleanup time by 60% and improved user confidence in data quality.