Prajamitra Bhuyan

Prajamitra Bhuyan


Assistant Professor
Academic Group: Operations Management


Phone No.: +91-33-24678300 Extn. No. 2023
Email ID.:


Personal Details:

I am an Assistant Professor in Statistics at the Indian Institute of Management, Calcutta. Prior to joining IIM Calcutta, I held a Lecturership in Mathematical Data Science at the Queen Mary University of London. Also, I was engaged with the data-centric engineering programme at the Alan Turing Institute. I held a postdoctoral position at the Imperial College London and National Postdoctoral Fellowship in India after completing PhD degree in Statistics from the Indian Statistical Institute. I have several years of industry experience as a Data Scientist in the Analytics sector, providing training and analytical solutions to global clients across industry verticals. I am passionate about solving real-world business problems and issues related to the humanitarian crisis.



Academic Background:

PhD in Statistics, Indian Statistical Institute
M.Stat, Indian Statistical Institute

Courses Taught:

Statistics for Managers (MBA). Decision Making Tools (PGPEX-VLM). Bayesian Methods for Business Analytics  (PGDBA). Advanced Mathematics (Doctoral). Statistics for Finance (Long Duration Programs). Statistics for HR Analytics (Long Duration Programs)



  • Elected Member since 2019, International Statistical Institute. 
  • M. N. Murthy Memorial Prize : 2017-2018, awarded by Indian Statistical Institute for outstanding thesis in Applied Statistics. 
  • National Postdoctoral Fellowship, 2017, Science and Engineering Research Board, Government of India. 
  • Junior Research Fellowship, 2011, Indian Statistical Institute.

Consulting Interests:

As a Data Scientist, my main consulting interest is in the Analytics sector to provide analytical solutions across industry verticals. I work across multiple functions in consulting, including advanced statistical modeling in different analytical domains using both structured and unstructured information with global organizations. I have established and headed an offshore credit risk modeling team and managed onsite projects in the UK and USA for premier banking and financial institutions.


Work Experience:

Assistant Professor, Indian Institute of Management, Calcutta, 2022 - Present
Lecturer in Mathematical Data Science, Queen Mary University of London, 2021 - 2022
Visiting Researcher, The Alan Turing Institute, 2018-2022
Research Scientist, Imperial College London, 2018 - 2021
National Postdoctoral Fellow, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, 2017 - 2018
Consultant Statistician, Freelance, 2009 - 2017
Consultant, Price Waterhouse Coopers, 2007 - 2009
Risk Analyst, Genpact, 2006 - 2007
Statistical Analyst, Marketics, 2006


Journal Publications:

  • Chatterjee K*, Bhuyan P*, 2024, Estimation of population size with heterogeneous catchability and behavioural dependence: applications to air and water borne disease surveillance, Journal of the Royal Statistical Society: Series A (Statistics in Society), 187(1), Pages: 110–131. 
  • Bhuyan P*, Jana K*, McCoy E, 2023, Causal Analysis at extreme quantiles with application to London traffic flow data, Journal of the Royal Statistical Society: Series C (Applied Statistics), 72(5), Pages: 1452–1474.
  • Ghosh S, Bhuyan P, Finkelstein M, 2022, On a bivariate copula for modeling negative dependence, Statistical Methods and Applications, Vol: 31, Pages: 1329–1353. 
  • Bhuyan P, McCoy E, Li H, Graham D J, 2021, Analysing causal effects of the London cycle superhighways on traffic congestion, Annals of Applied Statistics, Vol: 15 (4), Pages: 1999-2022. 
  • Jha J*, Bhuyan P*, 2021, Two-stage circular-circular regression with zero-inflation: application to medical sciences, Annals of Applied Statistics, Vol: 15 (3), Pages: 1343-1365. 
  • Nanda P, Bhuyan P, Dewanji A, 2021, Optimal replacement policy under cumulative damage model and strength degradation with applications, Annals of Operations Research, Vol: 315, Pages: 1345–1371. 
  • Bhuyan P, Ghosh S, Majumder P, Mitra M, 2020, A bivariate life distribution and notions of negative dependence, Stat, Vol: 9(1). 
  • Jha P, Banerjee S, Bhuyan P, Sudarshan M, Dewanji A, 2020, Elemental distribution in urban sediments of small waterbodies and its implications: a case study from Kolkata, India, Environmental Geochemistry and Health, Vol: 42, Pages: 461-482. 
  • Chattopadhyay N, Bhuyan P, 2020, Player selection strategy: a quantitative perspective, Proceedings of the 62nd ISI World Statistics Congresses: Contributed Paper Session, Vol-3.
  • Bhuyan P, 2019, Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling, Computational Statistics, Vol: 34, Pages: 1693-1710. 
  • Bhuyan P, Biswas J, Ghosh P, Das K, 2019, A Bayesian two-stage regression approach of analysing longitudinal outcomes with endogeneity and incompleteness, Statistical Modelling, Vol: 19, Pages: 157-173. 
  • Chatterjee K, Bhuyan P, 2019, On the estimation of population size from a post-stratified two-sample capture-recapture data under dependence, Journal of Statistical Computation and Simulation, Vol: 90, Pages: 819-838. 
  • Chatterjee K*, Bhuyan P*, 2019, On the estimation of population size from a dependent triple‐record system, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol: 182, Pages: 1487-1501. 
  • Bhuyan P, Mitra M, Dewanji A, 2018, Identifiability issues in dynamic stress-strength modeling, Annals of the Institute of Statistical Mathematics, Vol: 70, Pages: 63-81. 
  • Bhuyan P, Sengupta D, 2017, Estimation of reliability with semi-parametric modeling of degradation, Computational Statistics & Data Analysis, Vol: 115, Pages: 172-185, ISSN: 0167-9473. 
  • Bhuyan P, Dewanji A, 2017, Estimation of reliability with cumulative stress and strength degradation, Statistics, Vol: 51, Pages: 766-781. 
  • Bhuyan P, Dewanji A, 2017, Reliability computation under dynamic stress-strength modeling with cumulative stress and strength degradation, Communications in Statistics - Simulation and Computation, Vol: 46, Pages: 2701-2713. 

    * contributed equally.


  •  ASC & OZCOTS, Wollongong, December 2023
  • 2022 International Indian Statistical Association Conference, Bangalore, December, 2022
  • RSS International Conference, Manchester, September, 2021
  • 2019 International Indian Statistical Association Conference, Mumbai, December, 2019
  • European Meeting of Statisticians, Palermo, July, 2019
  • 11th International Conference on Mathematical Methods in Reliability, Hong Kong, June, 2019
  • CFE-CMStatistics 2018, Pisa, December, 2018
  • ISBA World Meeting, Edinburgh, June, 2018
  • 2017 International Indian Statistical Association Conference, Hyderabad, December, 2017
  • 22nd International Conference on Computational Statistics,  Oviedo, August, 2016
  • 2015 International Indian Statistical Association Conference, Pune, December, 2015
  • Eighth International Workshop on Simulation, Vienna, September, 2015
  • 22nd International Conference on Computational Statistics, Oviedo, August, 2016
  • Eighth International Workshop on Simulation, Vienna, September, 2015
  • 21st International Conference on Computational Statistics, Geneva, August, 2014

Research Interests:

My primary research interests lie broadly in statistical data science and methodology, motivated by real-life challenges arising from complex systems, social science and public policy. In particular, my doctoral work deals with computational and inferential issues in time-dependent stress-strength interference. In postdoctoral research, I worked on modeling and analysis of incomplete longitudinal data with missingness and zero-inflation. Currently, I am working on causal inference and its application in transport networks. I am also engaged in cross-disciplinary work, focusing on data-analytic settings in sports and environmental sciences.