Deniz Dahman is a Senior AI & Data Scientist | Trainer | Solutions Consultant with a specialization in Large Language Models (LLM), Deep Neural Networks (DNN), analytical inferences, and statistical analysis. With over two decades of experience in management and information technologies, his expertise includes applying AI problem-solving architectures to social science research, business development, financial product solutions, R&D, and diverse industries.
With an interdisciplinary background, he has achieved success in both the industrial and academic sectors. Deniz currently assists organizations in adopting the AI problem-solving architecture through his innovative framework, Dahman’s Phi Services, thereby improving their business processes, efficiency, and innovation. He also uses this framework to support and oversee research for undergraduates, postgraduates, and scholars.
His research is currently centered on: (1) developing a guidebook for the proper implementation of AI solutions, aiding stakeholders, professionals, and practitioners in understanding the intricate journey of AI adoption. (2) devising new algorithms to improve the performance and efficiency of AI products and tailoring the AI architecture to suit the problem’s domain. (3) introducing tools and methods to address data privacy issues and protect AI models from various malicious attacks.
Holding a Ph.D. in Management Information Systems, Deniz is the originator and author of ‘The Big Bang of Data Science—from Academia to Industry.’ He has developed numerous algorithms and methods and published a number of peer-reviewed scientific publications, drafts, and media presentations. With international living and working experience, Deniz is characterized by his peers as analytical, inventive, focused on objectives, and deeply humanitarian.