Experiment Driven Culture: AI and Machine Learning in E-commerce

Abstract: Machine learning and artificial intelligence play a crucial role in modern day e-commerce platforms. In this talk, Kamelia will walk through practical examples of machine learning and artificial intelligence in e-commerce including learning to rank and click through rate prediction using deep learning techniques. She will also explain the requirements of building a culture to enable full integration of machine learning and artificial intelligence with business through experimentation and share lessons learned along the way.

Bio: As Overstock.com’s Chief Algorithms Officer, Dr. Kamelia Aryafar leads the company’s machine learning, data science, data engineering and analytics functions across the organizations. Since joining Overstock.com in 2017, Kamelia’s teams have integrated state-of-the-art machine learning and artificial intelligence algorithms across various product teams, including personalization, pricing, ranking, search, recommender systems, marketing, CRM, advertising technologies, email, sourcing and supply chain.
Kamelia transitioned from academia to industry as a Senior Machine Learning Scientist and Lead at Etsy in 2013, where she worked with different product teams across several platforms to integrate machine learning and artificial intelligence algorithms throughout the organization. This work allowed her to apply the latest technology in the realm of e-commerce.
Kamelia holds a Ph.D. and M.Sc. in computer science and machine learning from Drexel University and a B.Sc in computer engineering from Sharif University of Technology. She has published several papers in scientific journals and conference proceedings. An active member of the machine learning community, she frequently speaks at academic and industry conferences focusing on advancing the field of artificial intelligence.

Open Data Science Conference