Deepanshu Gupta
About Deepanshu Gupta
Deepanshu Gupta is a Data Scientist at Adobe in India, with over 3.5 years of experience in data analysis and decision-making support. He previously worked at Mu Sigma Inc. and Tesco, focusing on delivering data-driven solutions for various business strategies.
Work at Adobe
Deepanshu Gupta has been employed at Adobe as a Data Scientist since 2021. In this role, he focuses on leveraging data analytics to support various business initiatives. His experience at Adobe spans three years, during which he has contributed to projects that enhance data-driven decision-making processes.
Previous Experience at Mu Sigma Inc.
Before joining Adobe, Deepanshu Gupta worked at Mu Sigma Inc. in two capacities. He served as a Decision Scientist for five months in 2020, where he applied analytical skills to solve business challenges. Prior to that, he was a Trainee Decision Scientist for three years, from 2017 to 2020, gaining foundational experience in data analytics and decision-making.
Experience at Tesco
Deepanshu Gupta held the position of Senior Analyst at Tesco from 2020 to 2021. During this nine-month tenure in Bangalore, he focused on data analysis to support retail operations. His work involved collaborating with teams to improve business strategies through data insights.
Education and Expertise
Deepanshu Gupta earned a Bachelor of Engineering degree in Mechanical Engineering from Chandigarh University, where he studied from 2013 to 2017. He also completed his Senior Education at D.A.V. Public School New Shimla, focusing on Sciences from 2001 to 2013. His educational background supports his analytical skills and expertise in data science.
Professional Skills and Contributions
Deepanshu Gupta has over 3.5 years of experience in performing descriptive, predictive, and prescriptive analysis. His work has involved collaborating with Customer Experience and Operations teams in retail to address business problems. He has contributed to projects related to Assortment Planning, Digital Marketing, Supply Chain, and Inventory Planning Optimization for a Fortune 100 sports retailer.