ѕhubham Rohatgi
About ѕhubham Rohatgi
Shubham Rohatgi is a Manager at The Smart Cube in India, where he has worked since 2021. He has extensive experience in advanced analytics and holds a Post Graduate degree in Economics from the University of Hyderabad.
Work at The Smart Cube
Shubham Rohatgi has been employed at The Smart Cube since 2021, currently holding the position of Manager. Prior to this role, he worked as an Assistant Manager from 2018 to 2021 and as a Senior Analyst in Data Analytics from 2016 to 2018. His initial tenure at The Smart Cube began in 2015 when he served as an Analyst in Data Analytics for 11 months. Throughout his time at the company, he has contributed to various projects and initiatives in the field of data analytics.
Education and Expertise
Shubham Rohatgi holds a Post Graduate degree in Economics from the School of Economics at the University of Hyderabad, which he completed from 2013 to 2015. He also earned a Bachelor's degree in Economics from the University of Delhi between 2010 and 2013. His educational background is complemented by expertise in advanced analytics techniques, including Market Mix Modelling, Price Elasticity Models, and Hierarchical Mixed Effects Modeling. He is proficient in programming languages and analytical tools such as SAS, R, Python, and Tableau.
Background
Shubham Rohatgi completed his high school education at Kulachi Hansraj Model School in New Delhi from 2008 to 2010, where he studied Commerce. He has also gained practical experience through internships, including a Commodity Market Research Internship at AgRe Strategies Pvt Ltd in Bangalore in 2015 and a research internship at the National Institute for Rural Development in Hyderabad in 2014.
Analytical Skills and Tools
Shubham Rohatgi possesses hands-on experience with a variety of analytical tools and programming languages. His skill set includes proficiency in SAS, R, Python, E views, Stata, Microsoft Excel, Tableau, MicroStrategy, Alteryx, and Power BI. He utilizes these tools to implement advanced analytics techniques, contributing to effective data-driven decision-making processes.