
As a UI Designer, I developed a predictive analytics platform for Gazprom, empowering analysts to forecast oil well performance and optimize drilling operations. The platform integrated big data visualization, real-time forecasting, and an interactive CRM dashboard to improve decision-making.

Key Achievements
✅ Optimized Analyst Workflows
Mapped complex business logic and developed proto-personas to refine user flows despite limited direct user feedback.
✅ Scalable UI for Data-Intensive Dashboards
Expanded the design system, integrating interactive graphs, heatmaps, and drill-down tables to make dense analytics accessible.
✅ Benchmarking & Feature Prioritization
Conducted competitive analysis to introduce real-time forecasting & anomaly detection, aligning with industry leaders.
✅ Stakeholder Buy-in & UX Validation
Secured approval from leadership by presenting high-fidelity prototypes and A/B-tested solutions, ensuring seamless adoption.
✅ Fast Delivery Under Pressure
Shipped the fully functional analytics tool within 4 months, leveraging power users to validate UI decisions without extensive interviews.

Challenges & Solutions
🚧 Limited User Access → Partnered with a super-user to refine the CRM dashboard.
🚧 Complex Data Structures → Designed modular UI components for better visualization.
🚧 Stakeholder Skepticism → Proved A/B-tested UX improvements, cutting training time by 20%.