Tasks
- Develop a complex solution for taxi aggregator service
- Analyze user feedback in various languages
- Implement a multilingual pipeline
- Establish quality control measures
- Create custom-tailored categories
Efficiently analyzing users’ feedback in various languages. The need for a multilingual pipeline, quality control measures, and the requirement for custom-tailored categories.
Developed a Generative AI-powered interface for IBC and ASCE queries, enabled iterative refinement, integrated design standards, and optimized mobile/desktop usability.
Developed ML for OTT screen classification and TV channel recommendations, and empowered engineers to work with minimal supervision.
Developed audience AI clustering models based on behavior patterns and conversion probability. Created a multiplicative marketing mix model and introduced models for audience clustering.
Improved computer programs for better factory monitoring, combined them with real-time location and sensor data, and built new tools and websites for managing everything.
Integration with R&D workflows; data privacy compliance.
Expert services reduce research time and costs by 15-20%, enhancing drug discovery success rates.
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.