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Pawas Gupta

ML Engineer | Data Scientist | ex-McKinsey

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About

Pawas Gupta is a highly skilled Senior Data Scientist at McKinsey & Company with over 6 years of experience in data science. He specializes in Operations Research and Revenue Management and has worked on a wide range of projects in various industries such as e-commerce, retail, operations, media and entertainment. His expertise includes customer targeting, product recommendation, scheduling, dynamic pricing, segmentation, revenue optimization, demand forecasting, text analytics, and more. Pawas has extensive professional experience in predictive analytics, data mining, statistical analysis, machine learning-based prediction and classification, optimization, ETL system design, KPI dashboard design, cloud computing using AWS, distributed computing, process automation, and more. He has also worked on consulting, project management, team management, and business communication as part of his project activities. He is skilled in managing client calls, designing analytics dashboards, and addressing various business concerns over emails. Prior to joining McKinsey, Pawas worked as a Senior Data Scientist at quantumblack, ai by mckinsey, and 84.51˚. He has a Master of Science degree in Business Analytics with a specialization in Operations Research and Revenue Management from the University of Maryland-College Park, where he graduated in 2018. He also holds a Bachelor of Technology degree in Electrical, Electronics and Communications Engineering from Guru Gobind Singh Indraprastha University, where he graduated in 2012. Pawas is highly proficient in data science and has expertise in various technologies such as Data Scientist, Research Scientist, AWS, ML, ETL, and more. He has relevant experience of 9.95 years and is a valuable asset to any organization he works with.

Education Overview

university of maryland

guru gobind singh indraprastha university

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Experience Overview

12.6 Years

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Pawas Gupta's total experience is 12.56 years

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Pawas Gupta has skills in Amazon Web Services (AWS), Analytics, analytics, Apache Airflow, Applied Machine Learning, Automation and more.

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