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Brief Profile
Educational Qualification
Doctorate: PhD in Statistics from the School of Mathematics, University of Birmingham, UK: 2012.
Master of Science (by research): MSc in Statistics from Department of Statistics and Applied Probability, National University of Singapore: 2008.
Master of Science: MSc in Mathematics from Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur: 2006.
Bachelor of Science: BSc (Hons.) in Mathematics from St. Xavier`s College, University of Calcutta: 2003.
Courses Taught
• EFPM: Basic Statistical Techniques
• GMP: Data Analytics Techniques for Business: Statistical Reinforcement (DATB), Quantitative Techniques for Managerial Decisions,
• BM: Quantitative Techniques II
• VIL: i) Quantitative Methods for Decision Making
ii) Regression Techniques 1 (RT1)
iii) Data Mining 1 (DM1)
iv) Regression Techniques 2 (RT2)
v) Data Mining 1 (DM1)
• XOL: Quantitative Techniques I (QTI)
Consultancy Undertaken
• Provided consultancy service to The Council for the Indian School Certificate Examinations in 2020 on their evaluation methodology for ICSE/ISC 2020 cancelled examinations due to coronavirus outbreak.
Intellectual Contributions (Publications)
Journal Articles-Refereed
- Guha, P., (2018), Application of Multivariate-Rank-Based Techniques in Clustering of Big Data, Vikalpa, 43(4)
- Guha, P., Chakroborty, B. (2020), On a scale-scale plot for comparing multivariate distributions, Communications in Statistics - Theory and Methods
- Guha, P., Chakroborty, B., (2020), Visual Tests for Elliptically Symmetric Distributions, Stat
- Guha, P.,Bansal, A.,Guha, A. Chakrabarti, A. S., (2021) Gravity and depth of social media networks, Journal of Complex Networks
- Guha, P., (2021), Application of Pooled Testing Methodologies in Tackling the COVID-19 Pandemic, Management and Labour Studies.
- Guha, P., Guha, A., & Bandyopadhyay, T. (2021). Application of pooled testing in estimating the prevalence of COVID-19. Health Services and Outcomes Research Methodology
- Kumar, R. R., Guha, P., & Chakraborty, A. (2021). Comparative assessment and selection of electric vehicle diffusion models: A global outlook. Energy
Other Professional Activities
Participation in Workshops/Conferences/Forums/ Meetings etc
- Attended webinar “Statistics: Yesterday, Today and Tomorrow”, organised by the Department of Statistics, Bethune College in collaboration with IQAC on 29 July 2020.
- Attended international webinar: “Statistics and its Applications" by the Department of Statistics, West Bengal State University, Barasat, Kolkata, on 8th August 2020.
- Attended international webinar: Lecture Series celebrating the Birth Centenary of eminent statistician Prof. C.R. Rao, by the Department of Statistics, West Bengal State University, Barasat, Kolkata, 13-15th September 2020.
- Presented a talk titled ‘A Visual Test for Elliptical Symmetry Using Scale-Scale Plots’ at the 2017 Annual Conference of the International Indian Statistical Associations, 2017 at Hyderabad.
- Presented a paper titled ‘Application of Multivariate Rank. Based Techniques for Clustering of Big Data’ at the 4th PAN-IIM conference, 2016 at IIM Ahmedabad.
- Attended pre-conference workshop on ‘Big Data Analytics’, as part of the 4th PAN-IIM conference, 2016 at IIM Ahmedabad.
- Conducted Faculty Development Programme titled Data Analysis in Big Data: Challenges and Opportunities and presented talk titled ‘Big Data and Data Mining Techniques’ at Institute of Management, Nirma University, 2016.
- Attended 7th Indian Management Conclave (IMC) at Ahmedabad, 2016.
- Faculty Induction Training Programme, 2016 by Academic Development and Research (ADR) Cell, Nirma University.
- Presented talk titled ‘On A Multivariate Generalization of Quantile-Quantile Plot’ at International Conference on Robust Statistics at Parma, Italy, 2009.
- Attended Braid Workshop in the National University of Singapore, 2007.
Research Project Undertaken
• Research project with Dr. Hui Li, University of Birmingham, from January 2011 to March 2011: This work was a part of investigating to what extent the common household in the US are willing to pay for energy and research development. Here I had to collect consumer sentiment data from a website. I also wrote a program in R that would compute the minimum distance between the consumer home and nuclear site cleanup active sites.