Administrative Staff College of India

Post Graduate Diploma in Management(PGDM)

Two Year Full-Time Post Graduate Programme
(Approved by AICTE, Govt. of India)

Dr. Priya Verma

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Dr. Priya Verma

Assistant Professor

Assistant Professor – Data Analytics - Centre for Management Studies


Dr. Priya Verma is an Assistant Professor (Data Analytics) at the Centre for Management Studies, Administrative Staff College of India (ASCI), Hyderabad. She has done her Ph.D. in Data Science and Applied Machine Learning from IIT Hyderabad, India followed by Post-Doctoral Research at IIT Hyderabad. She has a Dual Degree (B. Tech & M. Tech) in Computer Science Engineering from Jayoti Vidyapeeth women’s University, Jaipur. She has an overall 8 years of Experience in Research, Teaching, and Industry. Apart from ASCI, she has teaching experience at a number of reputed Business Schools like ICFAI University (Hyderabad), Welingkar Institute of Management Development and Research (WeSchool, Mumbai), and The Institute of Insurance and Risk Management (IIRM, Hyderabad).

Her areas of specialization are Data Analytics, Applied Machine Learning, and Fraud Analytics where her research and teaching experience is focused. During her Ph.D. and Post-Doc Research at IIT Hyderabad, she worked with the Govt. of Telangana and analysed vast GST datasets using big data analytics and social network analysis which led to a significant increase in the Govt.’s revenue. She has published 17 research papers (Springer, IEEE) and presented several research articles at international conferences in the US, London, Spain, Turin and Japan. She has also assisted in conducting several certification courses on business analytics for working professionals. She has experience teaching MBA students and working professionals’ various courses/workshops/webinars on subjects like Machine Learning using R, Artificial Intelligence, Insurance Analytics using Python and R, Fraud and Risk Analytics, Fintech Technologies, and Data Mining.

She is interested to continue research on Machine learning and its applications to solve real-world problems.


  • Dual Degree (B. Tech & M. Tech)
  • Ph.D.