Meesho
Kunal Sawant is an experienced data scientist and machine learning engineer currently working at Meesho as a Data Scientist II, focusing on personalization, new catalog discovery, recommendation engines, and price-sensitive recommendations. Prior to Meesho, Kunal served as a Senior Machine Learning Engineer at Servify, where a fraud detection pre-purchase model was developed using XGboost Classifier, along with a service center cost forecasting and risk assessment model. Kunal's career began at JPMorgan Chase & Co., where roles included Associate and Application Developer, notable for optimizing response times through a queuing system and creating applications that streamlined data collection across multiple sources. Kunal holds a Bachelor of Engineering degree in Information Technology from Bhartiya Vidya Bhavans Sardar Patel Institute of Technology.
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Meesho
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Meesho is India’s fastest growing internet commerce company. We want to make eCommerce accessible to all. Our vision is to enable 100 million small businesses in India, including individual entrepreneurs, to succeed online. Our mission is to democratise internet commerce by bringing a range of products & new customers online. What started as a reseller-focused platform six years ago has now emerged as a single ecosystem connecting millions of sellers, consumers and entrepreneurs.