Tasks
- Develop a complex solution for taxi aggregator service
- Analyze user feedback in various languages
- Implement a multilingual pipeline
- Establish quality control measures
- Create custom-tailored categories
Efficiently analyzing users’ feedback in various languages. The need for a multilingual pipeline, quality control measures, and the requirement for custom-tailored categories.
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.
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.
Established monobrand boutiques and introduced collections, enhancing customer experience and driving sales growth