Chandi Gupta

Chandi Gupta

Data Science Manager @ KPMG India

About Chandi Gupta

Chandi Gupta is a Data Science Manager at KPMG India, with a background in data analysis and biotechnology. He has previously held positions at Punjab National Bank and Nestlé, contributing to his expertise in data science and analytics.

Current Role at KPMG India

Chandi Gupta serves as a Data Science Manager at KPMG India. In this role, Gupta is responsible for leveraging data analytics to drive business insights and support decision-making processes. The position involves managing data science projects and collaborating with cross-functional teams to enhance data-driven strategies.

Previous Experience at Punjab National Bank

Prior to joining KPMG India, Chandi Gupta held multiple roles at Punjab National Bank. Gupta worked as a Data Analyst for 10 months in Gurgaon, Haryana, from 2018 to 2019. Following this position, Gupta advanced to the role of Data Science Manager, where they worked for four years in New Delhi, from 2019 to 2023. Additionally, Gupta served as an Assistant Manager from 2014 to 2018 in Gurgaon.

Educational Background in Data Science

Chandi Gupta studied at the International Institute of Information Technology Bangalore, where they pursued a program in Data Science, achieving an Executive Post Graduate Diploma in Data Science (EPGDS). This educational experience equipped Gupta with advanced knowledge and skills in data analysis and machine learning.

Master's Degree in Biotechnology

Gupta earned a Master of Technology (Integrated) in Biotechnology from Amity University, completing the program from 2006 to 2011. This academic background provided a strong foundation in scientific principles and research methodologies, which are applicable in data science and analytics.

Early Career at Nestlé

Chandi Gupta began their professional career as a Nutrition Officer at Nestlé in 2012. This role lasted for six months and involved responsibilities related to nutrition and health, contributing to Gupta's understanding of data in the context of consumer health and nutrition.

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