Slimstock
Andrei Margert is a Machine Learning Engineer at Slimstock, specializing in building Machine Learning Services for Inventory Optimisation using FastAPI and Java 8 since November 2023. Prior experience includes serving as a Machine Learning Specialist at Wageningen University & Research, where Andrei focused on providing advanced research and production-ready software solutions for the agri-food sector. Additional roles encompass positions as a Software Developer at Hyperganic Group and a Decision Intelligence Engineer at White Space Solutions, where Andrei developed data-driven solutions and managed the product design cycle. An internship at Shell involved processing large datasets with Computer Vision, while another internship at Gazprom Dobycha Yamburg Ltd. dealt with gas production operations. Andrei holds a Master's degree in Applied Earth Sciences from Delft University of Technology, complemented by a Bachelor's degree in Petroleum Engineering from Tomsk Polytechnic University and additional education from Udacity.
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Slimstock
Supply chain planning should be a walk in the park. That’s why we have dedicated over 30 years to helping businesses make better & faster supply chain decisions. Powered by AI, Slim4 offers an integrated solution to revolutionise your approach to S&OE, S&OP, and IBP. Trusted by thousands of users worldwide, our award-winning platform underpins the people & processes throughout your supply chain to help you boost profitability, increase efficiency, & eliminate waste. By empowering planning teams to make better supply chain decisions, we help businesses to eliminate waste; both in terms of time and resources as well as talent. Encompassing demand planning, inventory optimisation, portfolio management and replenishment, our advanced supply chain planning platform helps supply chain teams to cut costs, improve customer satisfaction and boost efficiency. With the combination of our award-winning Slim4 platform and our dedicated global team of consultants and architects, 1300+ customers count on us every day to make better supply chain decisions.