Datafactorial is an AI and data advisory product focused on data strategy, governance, and AI readiness. The case study stays high-level and public-safe.
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AI / Data Advisory
Datafactorial
Frontend / Product Engineer
Built production-ready product interfaces and API-integrated workflows for AI/data advisory use cases while keeping proprietary implementation details confidential.
Overview
Project Overview
Challenge
Problem / Challenge
The product needed clear dashboards, forms, advisory workflows, and API-integrated product interfaces for complex AI and data topics without exposing proprietary workflows.
Ownership
My Role
Contributed frontend and product engineering across dashboards, data views, forms, product interfaces, and backend API integration.
Delivery
What I Built
Architecture
Architecture / Technical Decisions
Results
Impact / Results
Delivered maintainable product surfaces for AI/data advisory workflows and helped translate complex data-readiness concepts into usable interfaces.
Why it matters
Lessons
Datafactorial shows the ability to make complex technical domains more usable through clear product UX, API integration, and NDA-safe delivery discipline.