
Pratyush Dasgupta
Postgraduate Researcher

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About me
Senior Data Science Consultant at Deloitte
Education

Indian Agricultural Research Institute
2012 - 2017Doctor of Philosophy (PhD) Sample Survey 8.39/10.00Activities and Societies: Indian Society of Agricultural Statistics Studied and investigated Multiple Frame Approach in Ranked Set Sampling under Finite Population Framework as an alternative approach to traditional survey design used in general crop estimation survey by Government of India.

Indian Agricultural Research Institute
2010 - 2012Master of Science (M.Sc.) Agricultural Statistics 8.51/10.00Activities and Societies: Indian Society of Agricultural Statistics Identified certain criterion based on which a balanced incomplete block design can be considered as robust against loss of observations in multi-response experiments
Experience

Indian Agricultural Statistics Research Institute, New Delhi
Aug 2010 - Jul 2012Postgraduate ResearcherWorked on analyzing the impact of missing observations on balanced incomplete block design which has its applications in many key areas, including experimental design, finite geometry, physical chemistry, software testing, cryptography, and algebraic geometry. Information loss or missing of experimental data from research plots or fields are common. Postulated two statistical criterion for balanced incomplete block designs to be robust against loss of information or missing data. Identified a series of balanced incomplete block designs which are robust and must be used if an experimenter is planning an experiment using balanced incomplete block design with a prior knowledge of information loss possibility. Show less

Indian Agricultural Statistics Research Institute ICAR), New Delhi
Aug 2012 - Mar 2017Doctoral ResearcherStudied and investigated an alternative method which can be used in general crop estimation survey by Government of India replacing the existing approach. Crop estimation survey plays crucial role in planning and implementation of agricultural policies. The existing quinquennial survey is time consuming and takes lot of efforts in conducting large number of crops cutting experiments nationwide. Our alternative strategy examined the possibility of reducing the number of crops cutting experiments by estimating crop production utilizing farmer’s expertise or co-variate analysis. Use of ranked set sampling on multiple frames found out to be more precise than the existing design with same number of sampled units. Though extensive research must be carried forward to check its efficacy in field surveys and further improvement in the approach. This study was funded by Department of Science and Technology, Government of India under INSPIRE fellowship program. Show less

Accenture
Apr 2017 - Oct 2023Data Science Consultant
Jun 2020 - Oct 2023Data Science Analyst
Apr 2017 - May 2020

Deloitte India
Oct 2023 - nowDeputy Manager
Licenses & Certifications
- View certificate

Google Cloud Platform Big Data and Machine Learning Fundamentals
CourseraNov 2020 - View certificate

Smart Analytics, Machine Learning, and AI on GCP
CourseraNov 2020 - View certificate

Building Batch Data Pipelines on GCP
CourseraNov 2020 - View certificate

Building Resilient Streaming Analytics Systems on GCP
CourseraNov 2020 - View certificate

Data Engineering, Big Data, and Machine Learning on GCP Specialization
CourseraNov 2020 - View certificate

Modernizing Data Lakes and Data Warehouses with GCP
CourseraNov 2020
Honors & Awards
- Awarded to Pratyush DasguptaNehru Memorial Gold Medal Award Indian Agricultural Statistics Research Institute Jul 2013 For securing highest grade and best thesis during M.Sc.
Languages
- enEnglish
- beBengali
- hiHindi
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