The main challenge was to develop a comprehensive strategy to automate data collection and reporting processes, integrate various data systems, and improve data-driven decision-making capabilities for Servier Ukraine.
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.
Established monobrand boutiques and introduced collections, enhancing customer experience and driving sales growth
