Key Contributions:• Support analytics and predictive modeling projects by leveraging data mining and robust statistical methods.• Apply machine learning to address real-world cybersecurity challenges across extensive data sources.• Enhance and optimize the merging process of petabyte-scale data sources.• Employ state-of-the-art machine learning algorithms to identify and mitigate cybersecurity threats.• Develop intuitive visualizations to enhance the effectiveness of… Show more Key Contributions:• Support analytics and predictive modeling projects by leveraging data mining and robust statistical methods.• Apply machine learning to address real-world cybersecurity challenges across extensive data sources.• Enhance and optimize the merging process of petabyte-scale data sources.• Employ state-of-the-art machine learning algorithms to identify and mitigate cybersecurity threats.• Develop intuitive visualizations to enhance the effectiveness of descriptive analysis.• Conduct regular reviews to ensure optimal operation and adherence to established service standards• Successfully implemented cost reduction strategies resulting in substantial savings Show less

• Novel Data Driven Surrogate Modeling for Parametrized Dynamic Systems• AI-enhanced Iterative Solver for Accelerating the Solution of Large Scale Parametrized Linear Systems• Solution of Partial Differential Equations with Physics Informed Neural Networks (PINNs) • Data Analysis of a drug study experiment based by Image Cytometry • Surrogate Modeling of brain tumor growth based on Convolutional Autoencoders