Tasks
- Enhancing AI models for improved efficiency.
- Transitioning systems to AWS for scalability.
- Consolidating data from various sources.
- Aligning releases with client design and usability needs
The main challenge was migrating to AWS managed services to enhance performance and scalability, consolidating data sources, and integrating client-specific design and usability needs.
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)
Established monobrand boutiques and introduced collections, enhancing customer experience and driving sales growth