Tasks
- Develop a predictive model on the wind energy production forecast
- Analyze historical data for accuracy
- Implement and test the model

Accurately forecast wind energy production based on historical data.
Enabled automated “share-of-shelf” analysis and instant planogram tracking with minimal human error for complex retail environments.


Successfully deployed a secure and compliant AI agent that recommends content, manages schedules, and engages clients in personalized conversations via the fitness-tech platform.








Reduced manual intervention in forecasting and reporting workflows with an AI agent capable of handling real-time price predictions, executing analysis, and sending back KPI reports.








Enabled fast, accurate detection and escalation of non-compliant procedures, reducing human oversight burden by deploying a real-time sterility monitoring system.








Digitized and structured all course materials from PDF-documents and videos based on defined business logic, reducing time spent searching by over 70%.








Achieved a 70% reduction in time spent on supply chain operations with low-latency OCR optimized for edge devices. Eliminated manual entry errors with a dual-validation mechanism.