Dimitris Tselios

Technology and data science leader with over 12 years of experience applying advanced analytics, applied machine learning, and data-driven decision-making to operational resilience, risk reduction, and enterprise performance in large-scale, mission-critical environments. Designed and deployed data governance and regulatory compliance frameworks that reduced compliance risk by 40%, architected executive-level dashboards and key performance indicator systems tracking operational health across global operations, and built predictive models that turned complex datasets on incidents, availability, capacity, and performance into actionable insights for senior leaders and non-technical stakeholders. Delivered machine learning prototypes and artificial intelligence native automation on Amazon Web Services and Google Cloud Platform that compressed delivery cycles from 60 days to 8 days. Currently completing a Data Science and Machine Learning certification at Massachusetts Institute of Technology Schwarzman College of Computing. Recognized for translating complex data into clear, compelling narratives that drive modernization, automation, and measurable business impact at scale.