Summary
D Akman is an educator and applied-math-trained AI practitioner with a decade of experience applying advanced analytics and generative AI to real-world problems. He has led cloud-based GenAI product development and architected scalable data solutions for startups and enterprise clients, including projects at nbn™ Australia and client work for Deloitte through ClearPoint. Holding a PhD in Applied Mathematics & Statistics and an MSc in Operations Research, he blends rigorous research grounding with practical engineering to deliver forecasting, churn, and operations-optimization systems. Now based in Sydney, he pairs hands-on model and software implementation skills with classroom-facing experience, and is known for turning complex statistical ideas into usable, production-grade tools.
10 years of coding experience
3 years of employment as a software developer
Master of Science - M.Sc., Operations Research & Industrial Engineering, Master of Science - M.Sc., Operations Research & Industrial Engineering at North Carolina State University
Johns Hopkins University