I am Kamelia Aryafar, Vice President, Head of Data Science, Machine Learning and AI at Overstock.com Inc., an online retailer. I lead the core machine learning, data science, marketing data science and personalization teams focused on building scalable machine learning, natural language processing, deep learning and computer vision tools to curate a personalized experience for Overstock users.

Prior to Overstock I have been a Senior Machine Learning and Data Scientist at Etsy Inc., an e-commerce platform for handmade and vintage goods for more than four years.

Before Etsy, I was doing a Ph.D. in computer science and machine learning, building large-scale classification and information retrieval models.

Recent Talks:

  • Open Data Science Conference
  • University of Alabama Analytics
  • MIT retail analytics conference
  • Solr conference
  • Salt Lake City Data Science Meetup
  • AI World Forum Disrupt: How can your business use AI and what are the best practices? Details

Recent Publications:

  • A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce SIGIR ‘18 eCom [pdf]

  • Discovering Style Trends through Deep Visually Aware Latent Item Embeddings. CVPR ‘18 Workshops [pdf]

  • An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. KDD 2017 ADKDD [pdf]

  • Images Don’t Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. KDD 2016 [pdf]

[dblp] [Google Scholar]