Developed a secure platform for client-consultant interactions, enhancing analytics and reporting capabilities
Established monobrand boutiques and introduced collections, enhancing customer experience and driving sales growth .
Developed predictive model forecast – mean Absolute percentage error was less than 10%
We developed a recommender engine that boosted basket size by 0.4 items and reduced churn from 20% to 15%.
Revolutionized mobile entertainment by leveraging AI to power face-swapping and video personalization, driving viral user engagement and app downloads.
Established monobrand boutiques and introduced collections, enhancing customer experience and driving sales growth .
Developed a secure platform for client-consultant interactions, enhancing analytics and reporting capabilities
Revolutionized mobile entertainment by leveraging AI to power face-swapping and video personalization, driving viral user engagement and app downloads.
Released real-time audio and text recognition for instant seller info, added video and audio customization, and improved multi language audio data annotation.
We developed a recommender engine that boosted basket size by 0.4 items and reduced churn from 20% to 15%.
Developed predictive model forecast – mean Absolute percentage error was less than 10%
Established monobrand boutiques and introduced collections, enhancing customer experience and driving sales growth
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.
A 20% decrease in the amount of negative feedback (1-2 stars)
Optimized computer vision algorithms, enhanced cloud development, and implemented SRE. Developed proprietary AI for real-time worker assistance and reduced cloud costs.
Developed predictive models for client churn, set up a data warehouse, automated Power BI updates, and improved client retention through advanced analytics.
Developed an ML model for profiling transactions and clustering regular and irregular spending, improving user insights and app features.