Dimitri Theveneau

– Data scientist in operational strategy, supply chain and logistics. – Built and industrialized sales forecasting ML models for major Worldwide companies (sales from €700 million to €40 billion) in the luxury, retail and food sectors. I also managed the customer face-off and the business workshops. Average gain of +8 points on WAPE accuracy vs current validated forecast (Stat model + planners manual work). – Lead the research and first uses of deep learning on Sales forecasting projects (TFT, TIDE etc.) to improve accuracy, time of deployment and explainability. – Built and industrialized assortment models for a major luxury brand recommending an optimized product assortment for each shop in the world depending on location, type of clients, sales etc. – Performed a diagnosis of operational excellence to explain a decline in overall performance in the automotive industry. Conducted data analysis (Tableau) from procurement and logistics – Conducted modelling and vizualization (Power Bi) for the study of a new logistics scheme in the luxury goods industry. Modelled new scenarios based on stock/sales/shipping data