Michał Kwieciński

Solving and managing various data science assignments: - Individual pricing models (creating statistical models for full price discrimination enabled by Big Data) - Data-driven retail and banking networks expansion/optimisation strategy (forecasting catchment and local sales potential with 500 metres accuracy) - Model-based measurement of promotion ROI - Basket analysis/recommendadtions and behavioural targeting for retail using transactional/beacon data, - Retail sales forecasting/inventory management - Predictive maintenance (preventing breakdowns, tracing source of error in complex systems) - Simulation applications within and outside supply chain, - Deep learning models, including implementation in churn prevention - Design of BI-driven management cockpits (real time awareness, what-if scenarios and drill down capabilities) - Operational model design for Analytics department - Providing internal and external training.