PyData NYC 2022

Using Interconnected ML Models to Tackle Retail Challenges
11-09, 10:15–11:00 (America/New_York), Winter Garden (5th floor)

Running a retail business is hard. At Shopify, we have millions of merchants of varying sizes that face many challenges, including:
- Selling across multiple online channels and managing product metadata, like categories, which is vital for search relevancy and discoverability
- Scaling a business while dealing with an ever changing online ad space with new regulations


In this talk, Kshetrajna Raghavan will present a holistic view of how Shopify uses interconnected ML systems to solve retail obstacles for Shopify merchants, all while giving these entrepreneurs of all sizes a competitive advantage. Kshetrajna will talk about the tools and platforms Shopify built to support these models, how they evolve continuously, and how they can be applied.


Prior Knowledge Expected

No previous knowledge expected

Kshetrajna is a Staff Data Scientist at Shopify working on the capital algorithms team. He has built and productionalized many models in various domains including retail, ad-tech and healthcare. His interests are mainly applied ML and ML systems. Outside of work, Kshetrajna loves to spend time with his dogs, play music on his guitar, and is an avid gamer.