Kamelia Aryafar

As Executive Vice President, Chief Algorithms and Analytics Officer, and board member for Overstock.com, Dr. Kamelia Aryafar leads the company’s analytics, data platform, technology, machine learning, data science, data engineering, and algorithmic product functions across the marketing, customer, sourcing, and website verticals. Dr. Aryafar joined Overstock in 2017, after several years at Etsy where she worked with different product teams across several platforms to integrate analytics, machine learning (ML) and artificial intelligence (AI) algorithms throughout the organization. Since joining Overstock, her teams have integrated state-of-the-art ML and AI algorithms across various product teams, including personalization, experimental design and analytics, pricing, ranking, search, recommender systems, marketing, CRM, advertising technologies, email, sourcing, and supply chain.

With the ability to leverage two decades of customer data, Dr. Aryafar is driving a unique strategy at Overstock. By applying her expertise in e-commerce, analytics, ML and data-driven developments, she is amplifying even greater customer-centricity across the web and mobile experiences. From the algorithms that power the search experience to the analytics and data strategy and platform used to personalize that experience, she is helping customers discover the most relevant products and information to meet their needs and inspire their wants.

 

Dr. Aryafar holds a Ph.D. and M.Sc. in computer science and ML from Drexel University and has published several papers in scientific journals. As an active member of the ML community, she frequently speaks at academic and industry conferences focusing on advancing the field of AI, ML, Technology and women in STEM. Dr. Aryafar serves on several boards including: Overstock.com, Initiative of Analytics and Data Science Standards (IADSS), Retail Management Institute at Santa Clara University, and Persian Women in Tech.

 

Featured Co-authors

Please sign up or login with your details

Forgot password? Click here to reset