Developed a secure platform for client-consultant interactions, enhancing analytical and reporting capabilities.
Established monobrand boutiques and introduced new collections with a data-driven approach, enhancing customer experience and driving sales growth.
Developed predictive model for energy supply forecasting – Mean Absolute Percentage Error was less than 10%.
We developed a recommender engine that boosted average basket size by 0.4 items and reduced customer churn from 20% to 15%.
Hired top AI talent for the core team of a leading mobile entertainment company with viral user engagement and millions of app downloads worldwide.
Released real-time audio and text recognition for instant seller info, added video and audio customization, and improved multi-language audio data annotation.
Developed a secure platform for client-consultant interactions, enhancing analytics and reporting capabilities.
Hired a core team of top AI talent for a leading mobile entertainment company with viral user engagement and millions of app downloads worldwide.
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 average basket size by 0.4 items and reduced customer churn from 20% to 15%.
With our custom predictive model, we achieved a Mean Absolute Percentage error of 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.
Achieved a 20% decrease in the amount of negative feedback (1-2 stars) with AI-powered multi-language feedback classification and analysis.
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.
Automated data collection and reporting, integrated systems, and enhanced decision-making with predictive analytics.
Built a neural network for real-time sensor fusion to detect reactor issues, reducing failures by 40% and enhancing control capabilities.
Integration with ERP/CRM systems and GDPR/HIPAA compliance.
ARIMA and LSTM models achieved 10-15% reduction in material waste.
Integration with LIMS, compliance with regulatory standards and GMP.
Machine learning enhances HPLC capabilities, achieving a 20-25% increase in operational efficiency and reducing manual workload.
Integration with R&D workflows and data privacy compliance.
Expert services reduce research time and costs by 15-20%, enhancing drug discovery success rates.
Improved factory software for better safety monitoring, integrated real-time location and sensor data, and built original tools and interfaces for efficient risk management.
Developed AI-powered audience clustering models based on behavior patterns and conversion probability. Additionally, created a multiplicative marketing mix model.
Developed ML for OTT screen classification and TV channel recommendations, and empowered engineers to work with minimal supervision.
Developed a generative AI-powered interface for IBC and ASCE queries, enabled iterative refinement, integrated design standards, and optimized mobile/desktop usability.