About Us

Ph.D. (1996) from Indian Agricultural Statistics Research Institute, New Delhi on “Nonlinear statistical models for studying acreage, production and productivity of wheat in India”. M.Sc. (1991) (Agricultural Statistics) from IASRI, New Delhi.

NET (Year of Qualifying): 1995

Business Statistics, Business Research Methods, Operations Research, Statistics and Research Methodology, Quantitative Techniques, Advanced Research Methods, Advanced Data Analytics, Marketing Research, Multivariate Data Analysis, Big Data Analytics;  Business Forecasting, Financial Risk Management.

Currently serving the Institute as a Professor of Statistics. Responsibilities include Teaching, Research and Consultation.
Head, Executive Management Programmes Division, Kolkata Campus

i) Research

** Division of Hydrology & Engineering, Central Soil & Water Conservation Research & Training Institute (ICAR), Dehradun, Uttarakhand as Senior Scientist from March 2003 to August 21, 2007.

** Land, Water, Environment & Engineering Research Programme, ICAR Research Complex for Eastern Region, Patna, Bihar as a Scientist (Sr. Scale) from April 2001 to March 2003.

** Directorate of Water Management Research (ICAR), Patna, Bihar as Scientist (Sr. Scale) from March 2000 to March 2001.

** Directorate of Water Management Research (ICAR), Patna, Bihar as Scientist from September 1996 to March 2000.

** National Academy of Agricultural Research Management (ICAR), Hyderabad, Andhra Pradesh as Scientist from March 1996 to August 1996.


ii) Teaching

** Currently teaching Business Statistics, Business Research Methods, Advanced Research Methods and Marketing Research to different programmes of the Institute.
** Delivered lecture on application of statistical techniques in training programme at Central Soil & Water Conservation Research & Training Institute (ICAR), Dehradun, Uttarakhand.

iii) Corporate Sector

** RR Financial Consultants Ltd., Indra Prakash Building, Barakhamba Road, New Delhi 110 001 as Research Analyst & Head, Research Division from April 1995 to March 1996.

Details of Research Projects

A. Currently working

** Possibilities of synergizing textiles & clothing value chain among SAARC countries in global trade (Associate)
** Export prospects for Indian agricultural products – an assessment of issues (Associate)
** Geographical Indications

B. Worked in recent past

** Stochastic analysis of rainfall and runoff data for planning conservation measures (Principal Investigator)
Funded by :ICAR
Research achievements: Identified appropriate probability model for describing weekly rainfall data of different stations of Uttaranchal. Minimum assured rainfall was computed and used to assess the risk of maize crop productivity to rainfall variability in the Doon valley. Estimated one-day maximum rainfall using the best-fit probability model and simulation technique at different return periods for conservation planning in the Doon valley.

** Estimation of n-consecutive day probable rainfall, potential evapotranspiration and other weather parameters affecting crop production at different locations in the country (Principal Investigator)
Funded by:ICAR
Research achievements: Developed the best-fit probability model for describing weekly rainfall data of different stations in India. Estimated the minimum assured rainfall and water balance of rice to minimize the risk of rice production due to rainfall variability.

** Development of water production functions (Principal Investigator )
Funded by: ICAR
Research achievements: Appropriate nonlinear statistical model for describing yield-water relationship of wheat has been developed. A list of crop-wise models for describing yield-water relationship of wheat has been developed.

** Integrated National Agricultural Resources Information System (Cooperative Centre Principal Investigator)
Funded by: World Bank
Research achievements: Developed database of various aspects of water resources. Developed water resources maps using GIS.

** Integrated management of land and water resources for enhancing productivity in Bihar and eastern Uttar Pradesh (a collaborative project among ICAR RCER, Patna, IACR-Rothamsted, UK and IWMI, Sri Lanka) (Associate)
Funded by: DFID, UK
Research achievements: Conducted interactive survey with farmers, including women to identify social, institutional and technical constraints employing snowball sampling technique. Assessment of spatial and temporal availability of rain, canal, and ground water and extent / sources of water logging.

** Livelihoods improved through improved crop and soil management (a collaborative project among ICAR RCER, Patna, IACR-Rothamsted, UK and IWMI, Sri Lanka) (Associate)
Funded by: DFID, UK
Research achievements: Field verification of cadastral maps using DGPS, laser surveying equipment and handheld computers by collecting spatial data. Collected, integrated and interpreted spatial and attribute data for establishing how environmental characteristics and social factors determine crop and soil management decisions.

** Soil-water-plant relationship in wheat at various irrigation schedules and nutrient management levels in heavy textured alluvial soil of central Bihar (Associate)
Funded by: ICAR
Contribution: Suggested appropriate design to conduct field experiment. Helped in analyzing collected data.

** Income and employment effect of farm irrigation in central Bihar (Associate)
Funded by: ICAR
Contribution: Helped in developing survey design.

A. In peer reviewed journal

1. Das, Pijush Kanti and Das, Prabir Kumar (2024) Forecasting and analyzing predictors of inflation Rate: Using Machine Learning Approach, Journal of Quantitative Economics, 1-25, Published on 29 February 2024. 10.1007/s40953-024-00384-z. [ABDC B] https://link.springer.com/article/10.1007/s40953-024-00384-z. ISSN: 0971-1554 print; ISSN: 2364-1045 electronic.

2. Paul, C. and Das, P. K. (2023) Early Stage Prediction of International Revenue of Bollywood Movies – Emphasis on Simultaneous over Sequential Release, Vision, 1–11, 2023. DOI: 10.1177/09722629231172048. (Online published on 24 September 2023) [ABDC-C]. ISSN:0972-2629 Online; ISSN: 2249-5304 print. (https://peerreview.sagepub.com/Author/ManuscriptWithDecision)

3. Paul, C. and Das, P. K. (2022) A Machine Learning-Driven Movie Performance Prediction System to Improve decision-Making Capability of Movie Investors, Journal of Management and Humanity Research, 8, 57-75, 2022. DOI: http://dx.doi.org/10.22457/jmhr.v08a062254. (Online published on 31 December 2022) ISSN:2582-7766 (online).

4. Das, P. K. and Kumar, Talleen (2023) E-commerce sellers’ ratings-Is user feedback adequate? International Journal of Consumer Studies, 47(4), 1561-1578. (ABDC-A) Online ISSN:1470-6431 [ https://doi.org/10.1111/ijcs.12938 ] First published: 11 April 2023; IF 7.096.

5. Das, P. K. and Das, A. (2022) Prediction, Risk Assessment and Comparison of Selected Emerging Markets’ Stock Indices During COVID-19 Pandemic Using the Coherent Measure - Comparing Selected Emerging Markets’ Stock Indices, The Journal of Prediction Markets, 16(3): 81-97 (https://doi.org/10.5750/jpm.v16i3.1974) (Published on 17 Feb 2023) [ABDC-B]. [1750-676X]

6.      Paul, C. and Das, P. K. (2022) Predicting movie revenue before committing significant investments, Journal of Media Economics, 34(2), 63-90. [ABDC-B] [Published online 9 May, 2022] [https://doi.org/10.1080/08997764.2022.2066108]  0899-7764, 1532-7736.

7.      Das, P. K. and Das, A. (2021) Application of nonlinear stochastic single source of error state space models in the forecasting of mobile subscribers in India. International Journal of Data Science (Published by Inderscience; Published online on June 18, 2021), Vol. 5 (4), 333-357. RePEc [Equivalent to ABDC-B] (https://www.inderscienceonline.com/doi/abs/10.1504/IJDS.2020.115874) (https://doi.org/10.1504/IJDS.2020.115874). (ISSN: 2053-0811; eISSN: 2053-082X)

8.      Das, P. K. and Pal, A. (2021) Modeling of Mobile Telephone Subscribers Using Piecewise Nonlinear Growth Models, Statistics and Applications, 19 (2), 147-159. [Web of Science and UGC] https://ssca.org.in/media/12_19_2_2021_SA_SA442020_PK_Das_Final31yEuCx.pdf 

9.      Exploring the determinants of mobile based services diffusion: past determinants, emergent pattern and a proposed framework. International Journal of Business Innovation and Research, 18(4)  (2019) [Published by InderScience Publishing], [https://www.inderscience.com/info/inarticletoc.php?jcode=ijbir&year=2019&vol=18&issue=4] (jointly with Abhishek Roy and Gautam Kumar Dutta). [ABDC-C]

10.  Identifying the Most Effective Model for Understanding the Growth Rate of Government e-Transactions: Brown’s Model of Exponential Smoothing with Roy, A. and Dutta, G. Asian Journal of Computer Science and Technology, 2018, 7(2): 81-86.

11.  Distribution Network of Indian Lighting Industry- A Comparative Sectoral Analysis. International Journal in Management and Social Science, 2015,3(9):43-61 (Jointly with Anil K. Bandyopadhyay and Anita Pal) [http://ijmr.net.in/download.php? filename=0yazxS7FI4uVGTE.pdf&new=IJMSS5Sep3449p.pdf]       [UGC]

12.  Nonlinear Statistical Model and its Applications to Diffusion of Mobile Telephony in India. Annals of Pure and Applied Mathematics, 5(1): 64-70, 2013. [http://www.researchmathsci.org/apamart/apam-v5n1-8.pdf] [https://www.ugc.ac.in/journallist/subjectwisejurnallist.aspx?tid=QW5uYWxzIG9mIFB1cmUgYW5kIEFwcGxpZWQgTWF0aGVtYXRpY3M=&&did=Q3VycmVudCBUaXRsZXM=]    [UGC]

13. Probability distribution of extreme rainfall series for conservation planning in a sub-humid climate. (Applied Engineering in Agriculture, 2008 with V. N Sharda. and P. R. Ojasvi).

14. Application of differential global positioning system, laser surveying system and handheld computers in precision agriculture in a watershed. (International Jr. Tropical Agriculture, Vol. 25, No.3, 2007).

15. Modelling weekly rainfall using gamma probability distribution and Markov chain for crop planning in a sub-humid (dry) climate of central Bihar. (Indian Jr of Agricultural Sciences, Vol. 76, June 2006 with N. Subash, A. K. Sikka, V. N. Sharda and N. K. Sharma).

16. Modelling weekly rainfall data for crop planning in a sub-humid climate of India. (Agricultural Water Management, 76 (2): 120-138, 2005 with V. N. Sharda)

17. Rainfall characteristics and probability analysis for crop planning under rice-wheat system for sub-humid (dry) climate (Indian Jr. of Soil Conservation, 32(2), 124-128, 2004 with N. Subash).

18. Rapid survey technique using digital technology for collection of spatial and attribute data in agricultural research (Journal of the CSI, 33 (2): 1-5, 2003).

19. Growth models for describing state-wise wheat productivity (Indian Jr. of Agricultural Research, 34(3): 179-81, 2000, with Prajneshu).

20. Modelling wheat production at state level in post-green revolution era. Indian Jr. of Agricultural Sciences, 68(1): 23-6, 1998, with Prajneshu).

B. In Book/ Book Chapter

1.      Das, P. K., & Das, P. K. (2023)  Forecasting Indian Inflation Using Machine Learning Models. In Swar, B. N., & Singhal, N. (Ed) Reinventing Management through Sustainability, Innovation and Analytics  (pp. 201-213) New Delhi: Bloomsbury. ISBN: 978-93-56403-45-1 2 4 6 8 10 9 7 5 3 1. (Published March 01, 2023)                                                                                                                                                                                                                      2. Das, P. K. (2020) Risk Modelling by Coherent Measure Using Family of Generalized Hyperbolic Distributions. In Lakhanpal, P., Mukherjee, J., Nag, B., Tuteja, D. (Eds.).

Trade, Investment and Economic Growth Issues for India and Emerging Economies (pp. 169-176). Singapore: Springer Nature. ISBN: 978-981-336-973-3.

3.      Statistical Methods for Watershed Data Analysis, Published in Water Harvesting Techniques & Drainage Line Treatment in a Watershed, G P Juyal and V N Sharda, Agrotech Publishing Academy, Udaipur, 2013, ISBN: 987-81-8321-155-0.

4.      Forecasting volatility of major stock indices, an invited article published in a peer reviewed edited book entitled: Indian Economic Development Contemporary Issues. Edited by D. N. Bhattacharyya, Regal Publications, New Delhi. (2012, jointly with Jayanta Kumar Seal).

5. Water production function – a review. In Waste Recycling and Resource Management in the Developing World. Edited by B.B. Jana, R.D. Banerjee, B. Guterstam and J. Heeb. University of Kalyani, India and International Ecological Engineering Society, Switzerland. p.543-50 (2000 with S. R. Singh ).

C. In Conferences/ Seminars

1. Modelling wheat production in India. Jr. of Indian Society of Agricultural Statistics, Vol. XLIII (3), Dec. 1991, p.249 (Abstract) (with Prajneshu)

2. Nonlinear statistical models for describing state-wise wheat production data in post green - revolution era. Presented at the 49th Annual Conference of Indian Society of Agricultural Statistics during February 22-24, 1996 held at Lucknow. (with Prajneshu)

3. Nonlinear statistical models for describing yield-water relationship of wheat. Presented in the 53rd Annual Conference of Indian Society of Agricultural Statistics during December 2-4, 1999 held at Tiruchirappally.

4. A data warehouse approach to manage large volume of data. Presented at the 16th National Convention of Computer Engineers and National Seminar on “Impact of Information Technology on Quality of Life - Future Strategy” on December 15-16, 2001 at Patna (with N. Subash).

5. Application of Differential Global Positioning System in Land and Water management. Presented at the 16th National Convention of Computer Engineers and National Seminar on “Impact of Information Technology on Quality of Life - Future Strategy” on December 15-16, 2001 at Patna (with B. Saha and S. R. Singh).

6. Application of information technology in natural resource management for sustainable Agriculture. Presented at the XXXVI th Annual Convention and Symposium of ISAE during 28-30 January, 2002 held at Kharagpur (with A. K. Singh and A. Upadhyaya)

7. Cadastral mapping using DGPS technology. Presented at Users’ Meet held at NRSA, Hyderabad during 30-31 January 2002. (with Palmer-Jones Richard, B. Saha, S.S. Prasad, Rakesh Kumar, Sachin Dhingre and Manoj Singh).

8. Development of geo-database of irrigation water resources of the country. Presented at the International Conference on Developments in Hydrology held at Kolkata during 24-25 October 2002.

9. Irrigation water resources information system incorporating spatial data. Presented at ISPRS, NRSA, Hyderabad held during 3-6 December 2002 (with Manibhushan, Abhay Kumar, Sanjay Tewari, Girish Panchariya, Amlendu Shekhar).

10. Integrated input management in wheat under heavy soils of Sone command. Bihar. Abstract presented in National Symposium on Agriculture in Changing Global Scenario. 21-23 Feb. 2002 at IARI, New Delhi pp 94-95 (with S. S. Singh., L. K. Prasad, B. Saha, D. Subrahmanyam, and R. D. Singh)

11. Das, Prabir Kumar (2023) Multivariate techniques in e-commerce sellers’ ratings, Paper presented at Eighth International Webinar on Recent Trends in Statistical Theory and Applications-2023 (WSTA-2023) Organised by Department of Statistics, School of Physical and Mathematical Sciences, University of Kerala, Trivandrum, India in association with Indian Society for Probability and Statistics (ISPS) and Kerala Statistical Association (KSA) during June 29-July 2, 2023. (Presented on July 2, 2023).

12. Das, Pijush Kanti and Das, Prabir Kumar (2023) Forecasting Indian inflation using machine learning models, MDIM 3rd ICCBP, 5-7 January 2023 (Received Best Paper Award).

13.      Das, P. K. and Kumar, T. (2022) 'Modeling E-commerce Sellers' Ratings Using Transaction-level and Users' Feedback Data', paper presented at the International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS-2022) 10-11 June 2022, Digital Platform of AJNIFM, Faridabad & NITIE, Mumbai, India.

14.      Ghosh, Kaushik and Das, Prabir Kumar (2022) A Systematic Literature Review and Analysis of National-level Policies on Virtual Digital Assets and Distributed Ledger Technology. Paper Presented at AppSciCon22-An Interdisciplinary National Conference May 27-28, 2022, MAKAUT, West Bengal.

15.      Paul, C. and Das, P. K. (2021) Predicting Box Office Revenue of Bollywood Movies in The USA During the Pre-Production Stage, presented at the ISDSI-Global Conference 2021: Leading Business in a Fluid World, Indian Institute of Management Nagpur, 2021. December 27-30, 2021.

16.      Das, P. K. (2021) Risk Assessment of Global Stock Markets During COVID-19 Pandemic Using Coherent and Alternative Measures” during 23rd Annual Conference of SSCA (online) on “Visionary Innovations in Statistical Theory and Applications (VISTA-2021)” during 24 – 28 February 2021 at ICAR - NAARM, Hyderabad.

17.      Das, P. K. (2018) Development Indices – Geospatial Technologies. Presented in ISRO Outreach Workshop for Eastern Region, April 27, 2018, Kolkata.

18.      Application of Remote Sensing, Big Data and Geographic Information System in Regional Planning and Development. Presented in Brainstorming Session held at ISRO, Kolkata Campus on January 31, 2018.

19.      Risk Modelling by Coherent Measure Using Family of Generalized Hyperbolic Distributions, 2018, Presented to Conference on Empirical Issues in International Trade & Finance Organized by IIFT during December 13-14, 2018 at New Delhi.

20.  Big data and predictive modelling in decision making. Presented in Workshop on Data Science and Its Implication in Governance, Organized Jointly by Department of IT & Electronics, Government of West Bengal at Indian Institute of Foreign Trade, Kolkata on 24^th March, 2017.

21.  Cointegration of Indian stock market to major global markets (jointly with J K Seal and J N Mukherjee, Proceedings of the India Finance Conference 2014 held at IIMB, Bangalore, December 17-19, 2014).

22.  Modeling volatility of major stock indices pertaining to developed and emerging markets, Proceedings of the International Finance Conference at IIM Kolkata, January 12, 2011 (jointly with Jayanta Kumar Seal).

23.   Baluchari – A Potential Product for Geographical Indication of West Bengal? (Presented in the Workshop onOpportunities and Challenges of Geographical Indications (GIs) Protection in West Bengal, July 25, 2008 Organized jointly by IIFT and ICC at Kolkata (jointly with K. Rangarajan, Saswati Tripathi and T. P. Ghosh).

D. In Training Manual

1. Das P. K. (2005) Statistical methods for watershed data analysis. In Winter School on Water Harvesting Techniques and Bio-engineering Measures for Drainage Line Treatment. Compiled by Juyal, G. P. and V. N. Sharda. Central Soil and Water Conservation Research and Training Institute, Dehradun.

E. Newspaper Article

Das, P. K. and Talleen Kumar (2022) E-comm must revamp customer rating system, The Hindu Business Line, August 24, 2022. https://www.thehindubusinessline.com/opinion/e-comm-must-revamp-customer-rating-system/article65806901.ece.

F. Others

Ph.D. work of Dr. Prabir K. Das has been referred to “Five Decades of Research in Biostatistics and Statistical Genetics: An overview” by P.S. Rana and Prajneshu published in the “Advances in Agricultural Statistics and Computer Applications”, Indian Agricultural Statistics Research Institute, New Delhi, pp 172-78, 1999.

Statistical Consultancy

• Provided statistical consultancy to TIFAC funded project entitled “A system’s approach to enhance rice-wheat productivity in Sone command” implemented in the Sone command area of Patna, Bihar.

• Provided input on statistical methodology for collection and analysis of data to different projects carried out by the working scientists of different disciplines in ICAR.

• Providing input on statistical methodology and data analysis to different projects carried out by the Faculty members of IIFT.

Guidance

• Guided one student of Indira Gandhi National Open University, New Delhi in the project work entitled “Development of Information System for Management of Agricultural Research Project”.
• Guided several MBA students on their Dissertation project.

Particulars of Post-qualification Training (Partial List)

• At IACR-Rothamsted, UK, University of Reading, UK and University of East Anglia, Norwich, UK on “Soil, geologic, hydrologic, meteorological, and other data base management including field verification and updating of cadastral maps using DGPS” and “Characterizing key environmental parameters that determine soil and crop management decisions”.

• At National Remote Sensing Agency, Hyderabad on “Remote sensing technologies and its applications including image processing, pattern recognition and GIS”.

• At NIIT, New Delhi on “Advanced software training covering RDBMS concepts, MS Access, Networking, & Oracle essentials, D2K,GIS and spatial data management concepts”.

• At National Academy of Agricultural Research Management, Hyderabad, Andhra Pradesh on “Foundation Course for Agricultural Research Service (Phase I & II)” and at BCKV, Kalyani, West Bengal on “Field Experience Training”.

Life Membership of Scientific Societies

Indian Society of Agricultural Statistics, New Delhi
Indian Science Congress Association, Kolkata
Computer Society of India, Mumbai
Indian Association of Soil and Water Conservationists, Dehradun
Society of Statistics, Computer and Applications, New Delhi

Awards/Fellowship

• Recipient of National Scholarship
• Recipient of University Merit Scholarship
• Recipient of ICAR/IARI Junior Research Fellowship
• Recipient of ICAR/IARI Senior Research Fellowship
• Awarded the first prize in the Declamation contest on “Statistics for Rural Development” held at IASRI, New Delhi.