Pratyush Dasgupta

Pratyush Dasgupta

Postgraduate Researcher

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location of Pratyush DasguptaDelhi, India

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  • Timeline

  • About me

    Senior Data Science Consultant at Deloitte

  • Education

    • Indian Agricultural Research Institute

      2012 - 2017
      Doctor of Philosophy (PhD) Sample Survey 8.39/10.00

      Activities 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 - 2012
      Master of Science (M.Sc.) Agricultural Statistics 8.51/10.00

      Activities 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 2012
      Postgraduate Researcher

      Worked 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 2017
      Doctoral Researcher

      Studied 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 2023
      • Data Science Consultant

        Jun 2020 - Oct 2023
      • Data Science Analyst

        Apr 2017 - May 2020
    • Deloitte India

      Oct 2023 - now
      Deputy Manager
  • Licenses & Certifications

    • Google Cloud Platform Big Data and Machine Learning Fundamentals

      Coursera
      Nov 2020
      View certificate certificate
    • Smart Analytics, Machine Learning, and AI on GCP

      Coursera
      Nov 2020
      View certificate certificate
    • Building Batch Data Pipelines on GCP

      Coursera
      Nov 2020
      View certificate certificate
    • Building Resilient Streaming Analytics Systems on GCP

      Coursera
      Nov 2020
      View certificate certificate
    • Data Engineering, Big Data, and Machine Learning on GCP Specialization

      Coursera
      Nov 2020
      View certificate certificate
    • Modernizing Data Lakes and Data Warehouses with GCP

      Coursera
      Nov 2020
      View certificate certificate
  • Honors & Awards

    • Awarded to Pratyush Dasgupta
      Nehru Memorial Gold Medal Award Indian Agricultural Statistics Research Institute Jul 2013 For securing highest grade and best thesis during M.Sc.