About

Chetna Bansal is a highly skilled Data Scientist with over 5 years of experience in the e-commerce and hospitality industries. She is proficient in Business Analytics, Machine Learning, Python, SQL, R, and Cloud Technologies (AWS). Chetna has worked on data-driven solutions involving Recommendations, Personalization, Forecasting, Segmentation, and other real-world business use cases. Chetna completed her Bachelor's Degree in Computer Engineering from Sardar Vallabhbhai National Institute of Technology (NIT Surat) with a GPA of 9.13. She also interned with Microsoft IT, where she worked on REST enabling some of their internal web services for performance enhancement. Currently, Chetna is working as a Data Scientist at Oyo, where she is responsible for Product recommendations, Personalized catalogue sorting, Inventory forecasting, Warehouse operations optimization, and Pricing Optimization. Prior to this, she worked as a Data Scientist at Grofers, where she was involved in similar responsibilities. In addition, Chetna has experience as a Training and Placement Student Coordinator at S V National Institute of Technology, where she represented the Computer Engineering Department, NIT Surat as the Student Coordinator for Training and Placement activities. Her major responsibilities involved contacting and coordinating with companies for campus recruitment, mediating students' communication with the institute's Training and Placement Cell and organizing events such as seminars and hands-on workshops for vocational and soft-skills development of the students. Chetna's TechStack includes Data Scientist, Research Scientist, Python, SQL, AWS, ML, Web, Spark, test, TensorFlow, Neural Networks, ETL, Flask, and infra. With a relevant experience of 6.52 years, Chetna is a highly skilled Data Scientist with a proven track record of delivering data-driven solutions to solve real-world business problems.