Building a robust data infrastructure and predictive models for effective churn retention.
Improved client retention and data-driven decision-making through advanced analytics.
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.
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
