PRO Workshop (AI): Product Led Growth: A new paradigm shift in Data Science and Product Manager Collaboration

- PDT
AI DevWorld -- Main Stage

Kunal Khadilkar
Adobe Photoshop, Data Scientist

Kunal Khadilkar is a Data Scientist working at Adobe, working on personalization, recommendation and user understanding for Photoshop, the most popular photo editing app. Prior to Adobe, Kunal graduated from Carnegie Mellon University, with a Masters Degree in Data Science. He has been recognized as a 'Rising Star of Social Impact' by Harvard Rising Stars Workshop 2020. Kunal's work in the field of AI for Social Good has been featured in leading journals & Conferences like AAAI, Cell, Nature and 100+ media outlets like BBC, Vice, Times of India, Hindustan Times, WION etc. Kunal is a 2 time TEDx Speaker, talking about how technology can be used to tackle social issues. He was also a Guest Lecturer at Carnegie Mellon's School of Computer Science.

In the past, Kunal has been felicitated by the Prime Minister of India, Mr. Narendra Modi and the Education Minister of Singapore, for prototyping solutions in the field of AI for Social Good, for the citizens of both the countries. He has represented India at an international hackathon and has been a winner of the world's largest hackathon, Smart India Hackathon. 


Data Science in industry requires close collaboration with Qual Researchers, Engineers and Product Managers to drive metrics within the product and build personalized in app experiences. In recent times, Product Led Growth (PLG) initiatives has resulted in a positive shift in working paradigm between Product Managers and Data Scientists. In this talk, I will begin with PLG, what it means and the impacts it has in almost all the big tech products and services. I will share few algorithms, operating models for successful PLG motions in large tech companies. I will also go over how modern user segmentation requires data skills and subject matter expertise, along with talking about how it gets deployed for personalization use cases.