Ahmed Troudi

Machine Learning Engineer at Slimstock

Ahmed Troudi is a Machine Learning Engineer at Slimstock since March 2023, with prior experience as a Data Scientist/Engineer at ReadyTech and Infor. At Infor, from August 2019 to April 2022, Ahmed contributed to Spark-based applications, machine learning model development, and solved demand forecasting challenges for clients. Ahmed's career began with a graduation internship at Infor, focusing on automating feature selection through Reinforcement Learning. Additionally, experience includes instructing machine learning at Go My Code and developing an online learning platform during a summer internship at Groupe SFM. Ahmed holds a Master's of Engineering in Computer Science from the Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis and a Bachelor's degree in Mathematics and Physics from the Preparatory Institute for Engineering Studies - El-Manar.

Location

Nieuwegein, Netherlands

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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.


Employees

201-500

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