Faculty Profile

Dr. Indrani Mukherjee is serving as an Assistant Professor in the Department of Statistics under the Faculty of Science at St. Xavier’s University, Kolkata since January 2026. She obtained her Ph.D. in Statistics from Visva-Bharati University, specializing in reliability models and statistical inference, and was supported by the prestigious DST INSPIRE Fellowship during 2015–2020.

Prior to her current position, she was associated with Maulana Abul Kalam Azad University of Technology, Visva-Bharati University, and Sister Nivedita University in various teaching capacities. Her research contributions span statistical distribution theory, reliability analysis, and applied statistical modeling, with publications in several reputed national and international journals.

Dr. Mukherjee has actively participated in numerous national and international conferences, workshops, and faculty development programmes. She has also contributed significantly to academic administration through roles such as Head of the Department, member of the Board of Studies, and programme coordinator. A life member of the Indian Society for Probability and Statistics(ISPS), she remains dedicated to advancing teaching, research, and institutional development.

• PhD in Study on Properties and Statistical Inference of Some Reliability Models, Visva Bharati University, 2020
• M.Sc in Statistics, Visva Bharati University, 2013.
• B.Sc in Statistics, Visva Bharati University, 2011.

• Assistant Professor, Department of Statistics, Faculty of Science, St. Xavier's University, Kolkata, West Bengal, 20/01/2026 - Present
• Assistant Professor (On Contract), Department of Applied Statistics, Maulana Abul Kalam Azad University of Technology (MAKAUT), West Bengal, 03/12/2021-19/01/2026.
• Guest-Teacher, Department of Statistics, Visva Bharati University, West Bengal, 15/02/2021-02/12/2021.
• Visiting Faculty, Department of Statistics, Sister Nivedita University, West Bengal, 18/11/2021-08/12/2021.

• HoD, Department of Applied Statistics, MAKAUT, WB, 18/09/2024-19/01/2026.
• BoS member of UG and PG, Department of Applied Statistics, MAKAUT, WB.
• PhD Cell Member at MAKAUT, WB.
• M. Sc Program Coordinator, Department of Applied Statistics, MAKAUT, WB.

• Mukherjee, I., Maiti, S. S. and Singh, V. V. (2023). On estimation of the PDF and the CDF of the one-parameter polynomial exponential family of distributions, Communication in Statistics-Theory and Methods, 52(1), 104-120. SCOPUS.
• Ruidas, M. K., Mukherjee, I., Choudhury, M. M., Maiti, S. S., Adhya, S. (2022). One-parameter polynomial exponential distribution with binomial mixture, REVSTAT-Statistical Journal, 22(2), 133-150. SCOPUS.
• Mukherjee, I., Maiti, S. S. and Shanker, R. (2021). On estimation of the probability mass function and the cumulative distribution function of a natural discrete one parameter polynomial exponential distribution, International Journal of Applied Mathematics and Statistics, 60(3), 49-61. SCOPUS.
• Maiti, S. S., Mukherjee, I. (2018). On estimation of the PDF and CDF of the Lindley distribution, Communications in Statistics-Simulation and Computation, 47(5), 1370-1381. SCOPUS.
• Maiti, S. S., Mukherjee, I. (2017). Estimation of the PMF and CDF of some standard discrete distributions useful in reliability modelling, International Journal of Agricultural and Statistical Sciences, 13(2), 735-751. SCOPUS.

• DST INSPIRE Fellowship, 2015-2020.