Student Information
Undergraduate StudentArtificial Intelligence in Business
W. P. Carey School of Business
Daniel Shirmohammadi is a dual-major student at Arizona State University's W.P. Carey School of Business, studying AI in Business and Computer Information Systems, and is currently pursuing his degree through ASU's Accelerated Master's program. Building on a prior Bachelor's degree in Business Administration from Michigan State University, Daniel returned to formal education to develop deep technical expertise, complementing several years of professional experience in data and business intelligence consultation and database administration (DBA). Combining rigorous academic study with real-world business acumen, Daniel offers a unique perspective shaped by entrepreneurial ventures in real estate, healthcare supply chain management, and active involvement in financial markets.
With extensive training in AI and data science - including over 1,465 hours of specialized bootcamp coursework, 40+ completed projects spanning 20 clients, and numerous professional certifications (including Azure, AWS, and Six Sigma Black Belt) - Daniel is focused on leveraging emerging technologies to solve complex business challenges. His technical foundation spans machine learning, data analytics, business intelligence, database management, and artificial intelligence applications, positioning him at the intersection of technology and strategic business decision-making.
Beyond academics, Daniel applies analytical and strategic thinking to options trading, specializing in cryptocurrency mining equities and market trend analysis. His entrepreneurial background demonstrates practical business execution, from real estate investment to supply chain operations to hands-on data consulting work. As a content creator and parent of two, Daniel balances multiple commitments while maintaining focus on building expertise in AI-driven business innovation.
Daniel is passionate about using technology to create scalable solutions and is working toward future ventures in healthcare AI, combining technical skills with industry knowledge to drive meaningful impact.