Dr. Prashant Verma

Dr. Prashant Verma is an Assistant Professor at the Department of Statistics, University of Allahabad. Dr. Verma holds a Ph.D. in Statistics from Banaras Hindu University. He has over 7 years of experience as a Statistician at the State Bank of India, Mumbai, and a Business Analyst at TCS, Bangalore. Dr. Verma possesses advanced expertise in Machine Learning and Deep Learning, having completed specialized courses with NVIDIA and Times Professional Learning.

He is a recipient of the UGC NET-JRF fellowship and the Basic Scientific Research Fellowship. Dr. Verma has published articles in various SCI/Q1/Q2/Scopus International journals like Biomedical Central (BMC), Annals of Data Science, Genus, Helicobacter, and other Springer journals. He recently authored one book, Practical Data Analytics for BFSI, focusing on Machine Learning & Deep learning applications in the Banking and finance sector. He also contributed 6 chapters to 2 edited books under CRC Press, Taylor & Francis.

Dr. Verma received the Ramanujan Award for Excellence in Research and Development, IEARG (2025) by Mathtech Thinking Foundation. He also received Multiple travel grants from ICMR, ICSSR, SERB, DST, MoSPI to present his research at various international conferences like the 7th African Population Conference, South Africa, the Annual conference of the Population Association of America, USA., the Asian Population Conference, China, and the ICFP-Colombia.

He received an award of appreciation from the International Conference on Family Planning, in collaboration with the Bill & Melinda Gates Institute for Population and Reproductive Health. He presented more than 20 research papers at various national and international conferences. He delivered over 20 lectures and chaired sessions at national and international workshops on statistical methodologies, machine learning, python, SPSS, and R. Dr. Verma is also contributing as a reviewer for various International Journals.