Tasks
- Build a single Master Data system
- Data collection and aggregation
- Data enrichment and processing
- Develop a business intelligence system
Working with a database containing over 150 GB of data and processing more than 10 million transactions.
Automated data collection and reporting, integrated systems, and enhanced decision-making with predictive analytics.
Developed an ML model for profiling transactions and clustering regular and irregular spending, improving user insights and app features.
Developed predictive models for client churn, set up a data warehouse, automated Power BI updates, and improved client retention through advanced analytics.
Optimized computer vision algorithms, enhanced cloud development, and implemented SRE. Developed proprietary AI for real-time worker assistance and reduced cloud costs.
A 20% decrease in the amount of negative feedback (1-2 stars)
Improved the system by moving it to AWS managed services, reduced costs by over 20%, and designed features focusing on user needs for future updates.