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Data Science
What Makes Ola’s Surge Pricing Work? Build a Dynamic Pricing Engine Using AI
Join Argha Mukherjee to learn how to build a dynamic pricing engine using AI, inspired by Ola’s surge pricing. Understand how data and machine learning drive responsive price adjustments in real-time.
Day
31st May
Time
11:00 am
Duration
60 Mins
Argha Mukherjee
Principal Architect – AI & Data Science
Know Your Speaker details
Argha Mukherjee
Principal Architect – AI & Data Science
Argha Mukherjee is a Principal Architect in AI & Data Science and a Doctoral Researcher in AI & Cybersecurity. With 7+ years of experience across healthcare, e-commerce, and tech, he’s led cutting-edge AI projects at companies like Amazon, CitiusTech, and Razor Group. He specializes in MLOps, NLP, and scalable AI systems, and is passionate about bridging research with real-world applications.
What will you learn from this
Agenda of the session
Dynamic Pricing Challenges
Data for AI Pricing Engine
Building Price Prediction Model
Real-Time Price Adjustments
Adding Contextual Factors