The main challenge was to develop a comprehensive strategy to automate data collection and reporting processes, integrate various data systems, and improve data-driven decision-making capabilities for Servier Ukraine.
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.
Integration with ERP/CRM systems; GDPR/HIPAA compliance.
ARIMA and LSTM models achieve 10-15% reduction in material waste.
Neural Network model for real-time sensor fusion to detect reactor issues, reducing failures by 40% and enhancing control capabilities.
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.
