Federico Bacci is a highly skilled data scientist and machine learning engineer with extensive experience in developing and deploying advanced algorithms for demand and promotion forecasting. At bol.com, Federico led the creation of a TensorFlow Neural Network model that significantly reduced error rates, while also enhancing demand forecasting for a vast product range. Previous roles include machine learning research at Sapienza Università di Roma, focusing on Industrial Internet of Things network security, and various software engineering positions where Federico contributed to innovative applications and web solutions. With a strong educational background in computer engineering from prestigious institutions and expertise in programming languages like Java and JavaScript, Federico combines technical knowledge with valuable soft skills in leadership and communication.
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