Pankhuri’s research lies at the intersection of machine learning, network theory and marketing, and stems from her keen interest in studying technology enabled social platforms for improving and scaling business research. Her dissertation seeks to leverage data traces of consumers’ engagements on social platforms to address issues in brand management.

Pankhuri is well trained across a range of research methods, including data analytics, machine learning, network analyses, econometrics, survey based methods, text analytics, deep learning, and causal inference. She is well versed with the details of these methods and algorithms, as well as current software and tools for using these with data (such as R, Python, SQL, AWS). She has worked with large scale data, both in its collection from online sources and analyses for obtaining insights.


  • PhD Information Systems, University of Illinois at Chicago – 2020
  • Msc Business Analytics, University of Manchester – 2015
  • Bsc Physics Honors, Miranda House – 2013