Data Scientist
Current- Perform data analysis on Iveco vehicles to support product validation, focusing on extracting insights that drive continuous product improvement.- Apply statistical analysis and hypothesis testing to validate engineering assumptions, ensuring data-backed product enhancement and reliability.- Develop and implement Machine Learning (ML) models to predict key metrics like mileage, maintenance needs, and performance trends, enabling proactive product adjustments.- Utilize Deep Learning (DL) techniques for complex pattern recognition and anomaly detection in large-scale datasets, identifying critical insights to improve vehicle durability and efficiency.- Design and deploy Digital Twin models to create real-time simulations of vehicle performance, providing predictive insights and enabling data-driven maintenance decisions.- Conduct clustering, classification, and regression analyses using tools like RapidMiner to reveal patterns and segment vehicle performance under various conditions.- Use feature engineering and model evaluation to refine predictive models, enhancing their accuracy and relevance to product validation.- Collaborate closely with cross-functional teams to transform analytical findings into actionable recommendations, directly impacting product development and customer satisfaction.
