Jimut Bahan Chakrabarty
Indian Institute of Management Kashipur, Indian Institute of Management Sambalpur, Indian Institute of Management Kozhikode, Institute of Rural Management Anand
About
Jimut Bahan Chakrabarty holds a Ph.D. degree from the Indian Institute of Management (IIM) Kozhikode in the area of Quantitative Methods & Operations Management. Prior to joining IIM Kashipur, he worked as a full-time faculty at IIM Sambalpur and IRMA and as a visiting faculty at IIM Kozhikode. He did his Master’s in Applied Quantitative Finance from the Madras School of Economics (MSE) and holds a Bachelor’s degree in Mathematics from Cotton College. Prior to joining academia, he worked as a Systems Engineer at Tata Consultancy Services (TCS) Limited. His research interest includes designing life test sampling plans, characterization of probability distributions, applications of Machine Learning, applications of Game Theory, and sports analytics.
Employment
-
Indian Institute of Management Kashipur Assistant Professor2023 - Present
-
Indian Institute of Management Sambalpur Assistant Professor2022 - 2023
-
Institute of Rural Management Anand Assistant Professor2020 - 2022
-
Adani Institute of Infrastructure Management Assistant Professor2019 - 2020
-
Tata Consultancy Services Systems Engineer2008 - 2012
Education
-
Indian Institute of Management Kozhikode PhD2014 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (7)
- On the economic design of optimal sampling plan under accelerated life test setting Save
- Understanding Sports Logistics: Scope, Framework, and Disruptions Save
- Optimum life test plan for Type-I hybrid censored Weibull distributed products sold under general rebate warranty Save
- Optimum reliability acceptance sampling plan using Type-I generalized hybrid censoring scheme for products under warranty Save
- Compounded generalized Weibull distributions - A unified approach Save
- Key performance indicators for factor score based ranking in One Day International cricket Save
- Compounded inverse Weibull distributions: Properties, inference and applications Save