Shahmir Kazi

Shahmir Kazi is a Senior Product Analyst at Zalando, working at the intersection of AI, product analytics and commercial decision-making. Across 10+ years in product, analytics and data science, his experience spans e-commerce, payments, checkout, pricing, machine learning and automation, with international exposure across Germany, France, Malaysia, Pakistan and China.At AI Summit Budapest, he brings a practitioner’s perspective on Databricks Genie agents, automated metric monitoring and anomaly detection - examining what delivers value, what fails in practice and how AI is reshaping analytics teams and individual contributors.Shahmir holds an MSc in Data Sciences and Business Analytics from ESSEC Business School and CentraleSupélec (ranked third globally by QS), and a BSc (Honours) in Accounting and Finance from LUMS. He also holds the Product Analytics Certification™ from Product School and Mixpanel and is active in international product and technology communities, including ProductCon, GITEX, IFA and Seamless. His strength lies in turning complex technology into decisions and systems that businesses can trust and use.