Mukul Gupta

Mukul Gupta

Data Science Manager @ Adobe

About Mukul Gupta

Mukul Gupta is a Data Science Manager at Adobe, where he has worked since 2021, focusing on customer engagement strategies. He has a background in data science and analytics, with previous roles at Dell, Fidelity Investments, and Mu Sigma Inc.

Work at Adobe

Mukul Gupta has served as a Data Science Manager at Adobe since 2021. In this role, he has focused on implementing strategies to identify early indicators of customer dormancy and recommending actions for re-engagement. He has also developed a framework aimed at identifying markets and improving customer engagement. His work contributes to Adobe's commitment to enhancing user experience through data-driven insights.

Previous Experience at Dell

Before joining Adobe, Mukul Gupta worked at Dell as a Senior Data Scientist from 2018 to 2021. During his tenure, he applied data science techniques to drive business decisions and enhance operational efficiency. His experience at Dell provided him with a solid foundation in data analysis and predictive modeling.

Education and Expertise

Mukul Gupta holds a Bachelor of Engineering (BE) in Civil Engineering from Punjab Engineering College, which he completed from 2008 to 2012. He furthered his education by obtaining a Master's degree in Business Analytics from the University of Minnesota - Carlson School of Management in 2018. His academic background equips him with a blend of technical and analytical skills applicable in various domains.

Background in Analytics

Mukul Gupta has a diverse background in analytics, having worked as an Analyst at Fidelity Investments from 2015 to 2017 and as an Analytics Consultant at the University of Minnesota - Carlson School of Management from 2017 to 2018. He also held positions at Mu Sigma Inc. as a Business Analyst and Senior Business Analyst from 2012 to 2015. This experience has honed his analytical capabilities and problem-solving skills.

Creative Problem-Solving Skills

Mukul Gupta possesses strong creative problem-solving abilities and is comfortable navigating uncertainty. He applies design thinking principles across multiple domains, allowing him to approach challenges from innovative angles. This skill set enhances his effectiveness in data science and analytics roles.

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