Ph.D. (Management), M.Phil. (Statistics), M.A. (Statistics), Fellow of Daniel K. Inouye Asia-Pacific Center for Security Studies, US
Biography
- Member of Study Group 3 of International Telecommunication Union (ITU)
- Member in the Expert Committee for Department of Post (DoP) for its Mission exercise being conducted in 2022.
- Member of The Development Monitoring and Evaluation Office (DMEO), NITI Aayog
Dr. Debnath is currently a faculty at Indian Institute of Public Administration (IIPA) in the area of Applied Statistics. An alumna of Delhi University, Department of Statistics, she specialized on Industrial Statistics viz, /six sigma, Design of Experiments (DoE), Taguchi Designs, TQM.
Dr. Debnath extensively uses Data Analytics and Advanced Statistical Modelling in her applied research. She is also proficient in different statistical softwares like, SPSS, MINITAB, Atlas ti-8, E-Views, DEA Solver, Tableau, which are used by her for training and research.
Dr. Debnath extensively uses Data Analytics and Advanced Statistical Modelling in her applied research. She is also proficient in different statistical softwares like, SPSS, MINITAB, Atlas ti-8, E-Views, DEA Solver, Tableau, which are used by her for training and research.
She has published a large number of national and international research papers with prestigious publishers like, Elsevier, Springer, Emerald, Sage etc. She has also won the best research paper for her paper on Benchmarking of the Steel Industries in India by the Emerald Group, UK.
She was a member of the Development Monitoring and Evaluation Office (DMEO), NITI Aayog. She is presently engaged with Policy Research for numerous ministries and the departments of Government of India. A rich experience with the Department of Public Enterprises (DPE), NITI Aayog, Department of Science and Technology, Ministry of Skills and Entrepreneurships, Power Finance Corporations, DoPT, MCA, Department of Posts, Ministry of Health and Family Welfare, Department of Justice, Ministry of Women and Child, etc., for evaluation research studies are few to be mentioned.