Marco Damato
Lead Data Scientist @JLR
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WORK HISTORY
Lead Data Scientist @JLR
Gaydon, GB
Developed an ML regression model on Google Cloud Platform (GCP) to enhance EV range estimation (R² = 0.78), integrating road geometry, traffic, driver behaviour, and weather for real-time battery consumption prediction.> Deployed a predictive maintenance system using classification and regression models (GCP), achieving 83% accuracy in failure prediction and R² = 0.72 for estimating expected usable life—optimising fleet maintenance and reducing downtime.> Built a virtual sensing model for estimating Electric Drive Unit (EDU) temperature from indirect telemetry signals, enabling real-time thermal monitoring without added hardware.> Developed unsupervised ML-based anomaly detection models to identify early signs of Electric Drive Unit (EDU) failure and software logic issues> Developed an NLP pipeline using LLMs and semantic embeddings to cluster and extract themes from customer and technician claims, supporting root cause analysis and product quality improvements.> Built a Generative AI-powered sentiment analysis system using LLMs & NLP to extract insights from unstructured customer feedback, informing product development and strategic decisions.> Applied clustering models to analyse driver behaviours, habits, and road preferences—delivering insights for product and marketing strategy.> Led fleet analytics initiatives to detect software logic issues, prevent potential recalls, and ensure system integrity via automated anomaly detection (GCP).> Built an audio-to-text pipeline using speech recognition and knowledge graphs to extract key info from conference recordings, improving knowledge retrieval.> Mentored junior data scientists and led ML best practices, AI deployment, and cloud-based solution delivery.> Presented AI-driven insights to senior leadership, shaping strategy in predictive analytics, fleet optimisation, and customer-focused AI applications.
EDUCATION
University of Bath
Master of Science - MS, Artificial Intelligence
Università degli Studi di Modena e Reggio Emilia
Master of Science - MS, Automotive Engineering Technology/Technician
Università degli Studi di Modena e Reggio Emilia
Bachelor's degree, Mechanical Engineering
SKILLS
ABOUT MARCO DAMATO
As a detail-oriented and critical-thinking professional with a fervent passion for data science and machine learning/artificial intelligence engineering, I bring a rich blend of analytical expertise and practical experience. My career is rooted in a deep understanding of analytical operations, tools, processes, and methodologies, which I am eager to apply in challenging environments.My key strengths lie in superior analytical abilities and problem-solving skills. I excel in providing hands-on leadership and direction in analytical, informatics, and big data management procedures. My experience has honed my ability to not only work with large volumes of complex data sets but also to distil these into actionable insights and strategic recommendations.My contributions in team settings and individual projects highlight my capacity to manage multiple concurrent data-driven initiatives, even under the most stringent deadlines. I pride myself on developing robust and data-intensive informatics solutions, focusing on delivering the best outcomes through data and evidence-based policies.As a communicator, I am fluent in both English and Italian, enabling me to collaborate effectively with diverse teams and stakeholders. I am now seeking to bring my expertise in data analysis, machine learning, and artificial intelligence to an innovative and dynamic organisation, where I can continue to drive impactful decisions and solutions.I would be keen to expand my network, so please feel free to connect with your contact details, and I’ll get back to you.
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