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Biography

Contact Details:

NAB room no. M 404 IIM Calcutta Diamond Harbour Road Kolkata 700104

Academics

Academic Background:

• PhD in Statistics, Indian Statistical Institute, 2012.

• Master of Statistics, Indian Statistical Institute, 2008.

• Bachelor of Science (Hons.) in Statistics, University of Calcutta, 2006.

Courses Taught:

• "Statistics for Business Research", Executive PhD program, IIMC, 2026.
• "Quantitaive Research Methods", PhD program, IIMC, 2025.
• "Data science for Business Analytics", Executive MBA, IIMC, 2025.
• "Statistics for Managers", Two-year MBA program, IIMC, 2025.
• "Categorical Data Analytics", PGDBA program, IIMC, 2025.
• "Statistical Inference", MBA-VLM program, IIMC, 2025.
• "Statistics for Managers", Two-year MBA program, IIMU, 2019 - 2024.
• "Data Science for Business Analysis", Two-year MBA program, IIMU. 2029-2024.
• "Bayesian Computational Methods" PhD program, IIMU, 2024.
• "Mathematical Statistics", PhD program, IIMU, 2019-2020.

Awards:

• Ambarnath-Shantilata Travel Grant of worth £700 from Indian Statistical Institute for attending International Society for Bayesian Analysis (ISBA) World Meetings, Benidorm, Spain, 2010.

• Five Year fellowship of National Eligibility Test conducted by Council of Scientific Industrial Research, Govt. of India, 2010.

• Prize in On Spot Essay Writing Competition organised by Central Statistical Organisation, Ministry of Statistics and Program Implementation, Govt. of India, 2007.

• Swami Lokeswarananda Memorial Award (2003) for all-round performance from Ramakrishna Mission Residential College, Narendrapur, 2003.

Consulting Interests:

e-commerce

Current Projects:

Investigating customer behavior in an e-commerce platform

Experience

Work Experience:

• Faculty, Operations Management, IIM, Calcutta, 2024 till date.

• Faculty, Decision Sciences, IIM, Udaipur, 2018 - 2024

• Research Fellow, University of Hohenheim, 2015–2018.

• Research Fellow, University of Southampton, 2013–2015.

Research

Journal Publications:

Mukhopadhyay. S, Bhattacharya. S, Dihidar. K, 2011, On Bayesian “Central Clustering”: Application To Landscape Classification Of Western Ghats, Annals of Applied Statistics, Vol. 5, No. 3, 1948-1977.

Mukhopadhyay. S, Roy. S, Bhattacharya. S, Fast and Efficient Bayesian Semi-Parametric Curve-Fitting and Clustering in Massive Data, 2012, Sankhy¯a Series B, Vol. 74, Issue 1, 77–106.

Mukhopadhyay. S, Bhattacharya, Perfect Simulation for Mixtures with Known and Unknown Number of Components, 2012, Bayesian Analysis, Vol. 7, No. 3, 675–714.

Mukhopadhyay. S, Bhattacharya. S, Cross-validation based assesment of a new Bayesian paleoclimate model, 2013, Environmetrics, Vol. 24, Issue 8, 550–568.

Lee. D, Mukhopadhyay. S, Rushworth. A, Sahu. S, A Rigorous Statistical Framework for Spatio-temporal Pollution Prediction and Estimation of its Long-term Impact on Health, 2017, Biostatistics, Vol. 18, No. 2, 370–385.

Pannullo. F, Lee. D, Neal. L, Dalvi. M, Agnew. P, O’ Connor. F, Mukhopadhyay. S, Sahu. S and Sarran. C, Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England, 2017, Environmental Health, 16–29, DOI 10.1186/s12940-017-0237-1.

Mukhopadhyay. S, Sahu. S, A Bayesian spatio-temporal model to estimate long term exposure to outdoor air pollution at coarser administrative geographies in England and Wales, 2018, Journal of the Royal Statistical Society, Series A, Vol. 181, Issue 2, 465–486, selected for webinar discussion at Royal Statistical Scoiety on 21st February, 2018.

Bartzke. G, Ogutu. J, Mukhopadhyay. S, Mtui. D, Dublin. H, Piepho. H, Rainfall trends and variation in the Maasai Mara ecosystem and their implications for animal population and biodiversity dynamics, PLOS ONE, Vol. 13, No. 9, 2018.

Mukhopadhyay. S, Ogutu. J, Bartzke. G, Dublin. H, Piepho. H, Modelling spatio-temporal variation in rainfall using a hierarchical Bayesian regression model, 2019, Journal of Agricultural, Biological and Environmental Statistics, Vol. 24, Issue 2, 369–393.

Mukhopadhyay. S, Bhattacharya. S, Bayesian MISE convergence rates of Polya urn based density estimators: asymptotic comparisons and choice of prior parameters, 2021, Statistics: A Journal of Theoretical and Applied Statistics, Vol. 55, Issue 3, 1–32.

Mukhopadhyay. S, Kar. W, Mukherjee. G, Estimating promotion effects in email marketing using a large-scale crossclassified Bayesian joint model for nested imbalanced data, 2023, Annals of Applied Statistics, Vol. 17, No. 1, 476–497.

Conferences:

Presented paper on Email marketing at Meeting of Indian International Statistical Association, Mumbai, India, 2019.

Presented paper on Bayesian state-space modelling for population dynamics of wildlife and livestock populations at Tanzania Wildlife Research Institute Meeting, Arusha, Tanzania, 2016, 2018.

Presented paper on Modelling rainfall pattern in East African region at Annual Meeting of Kenya Wildlife Services, Nairobi, Kenya, 2017.
 

Presented poster on A flexible Bayesian state-space modelling for population dynamics of wildlife and livestock populations at 13th World Meeting of International Society for Bayesian Analysis, 2016, Bari, Italy.

Presented paper on Modelling long term effect of air-pollution of UK at Royal Statistical Society Annual Conference, 2014, Sheffield, UK.

 

Presented paper on Modelling long term effect of air-pollution of England and Wales at 12th World Meeting of International Society for Bayesian Analysis, 2014, Cancun, Mexico.

Presented paper on Paleoclimatic reconstruction at 8th International Triennial Calcutta Symposium on Probability and Statistics, 2012, Calcutta, India.

Presented paper on Paleoclimatic reconstruction at 11th International Society for Bayesian Analysis, 2012, Kyoto, Japan.

Presented paper on Bayesian clustering at ISI-ISM-ISSAS Joint Conference, 2012, Tokyo, Japan.

Poster presentation at Valencia 9 conference, 2010, held in Benidorm, Spain, on Bayesian Clustering and Curve-fitting.

Presented paper on Fast and Efficient Bayesian Semi-Parametric Curve-Fitting and Clustering in Massive Data at 7th
International Triennial Calcutta Symposium on Probability and Statistics, 2009, Calcutta, India.

Research Interests:

• Applications of Bayesian methodologies to challenging business problems, for example, e-commerce.

• Bayesian integrated models for modelling rainfall patterns.

• Bayesian Computation (for example, MCMC, Perfect Simulation).

• Bayesian machine learning.

• Bayesian spatio-temporal analysis.