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Vandana Pundir's work experience includes a role as a Product Analyst at FourKites, Inc. starting in March 2021. Prior to that, they worked at Swiggy, starting in January 2018. At Swiggy, they held various roles including Product Analyst for Swiggy Stores and Business Analyst for Swiggy Food (CC/CX). In these roles, they managed multiple projects in analytics, including product, growth, supply, and customer care/experience. Vandana also served as the primary product analytics point of contact for the launch of Instamart and liquor delivery on the platform. Vandana has expertise in SQL, Microsoft Power-BI, and R programming.

Vandana Pundir's education history includes a Master of Technology (MTech) degree in Geoinformatics Engineering from the Indian Institute of Technology, Kanpur, which they obtained from 2015 to 2017. In 2016 and 2017, they pursued a Master's Thesis in Geodesy at Technische Universität Dresden. Prior to that, from 2011 to 2015, they completed a Bachelor of Technology (B.Tech.) degree in Electrical Engineering at the College Of Technology, G.B.P.U.A&T, Pantnagar. Furthermore, Vandana attended St Mary's Sr. Sec. School from 1997 to 2011.

In addition to their formal education, Vandana has obtained various certifications. Vandana completed courses such as "Product Management 101" and "Advanced Product Management: Strategy, Vision and Metrics" from Udemy in 2023 and 2022, respectively. Vandana also completed "The Product Management for AI and Data Science 2022" course from Udemy in 2022. Vandana obtained certifications in business analytics and data science from LinkedIn, including "Become a Business Analytics Expert," "Business Analytics: Data Reduction Techniques Using Excel and R," "Logistic Regression in R and Excel," "Meta-analysis for Data Science and Business Analytics," "R for Excel Users," "Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics," "Business Analytics: Forecasting with Exponential Smoothing," "Business Analytics: Forecasting with Seasonal Baseline Smoothing," "Data Analytics for Business Professionals," "Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics," and "Business Analytics: Forecasting with Trended Baseline Smoothing" which were all completed between 2020 and 2023.