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Nitin Jain

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  • Assistant Professor

  • Qualification
    • M.Sc. (Business Analytics and Decision Sciences) from University of Leeds, U.K.
    • B.Tech. (ECE) GOLD Medalist, JK Lakshmipat University, Jaipur.

  • Professional Experience

    • A successful Data Scientist and budding academician, has led Data Science projects for renowned public sector and private sector organisations dealing in sectors like Retail, Banking, Healthcare, Crime Analysis, Financial Services, Risk Management and Commodity Trading, media and event management. Clients and organisations served by him ranges from mature markets like U.S.A., U.K., Italy, Singapore and Austria to developing market like India.
    • Highly skilled in developing and implementing machine learning based forecasting tools using the given data to predict sales, demand, price, risk etc.
    • Expert in implementing Text Analytics, Data analytics, Data Visualization and Digital Analytics solutions through tools like R, IBM SPSS, KNIME, IBM Watson Analytics, Microsoft Azure Machine Learning Studio, Power BI, MS Excel, Google Analytics and Google Data Studio.
    • Also holds expertise in decision sciences; providing high quality decision support through implementing structured decision making aid techniques (like Decision Trees, SMART and Scenario planning) and by using Multiple-Criteria Decision Analysis (in decision making situations with multiple criteria).

  • Research & Publications
    • Presented a research paper titled "Monitoring a water efficient irrigation system through SCADA" in ADMET-2014 conference held at Thapar University

  • Achievements
    • Member – Harvard Business Educators Group
    • Recipient of Summer Research Fellowship - 2014 (at IIT- Bombay)
    • Recipient of GOLD Medal for Active Participation during B.Tech. at JK Lakshmipat University
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"In accordance with the latest Govt. guideline the institute authorities at Doon Business School Group decided to call off the GDPI Scheduled at different locations till 30th May 2020. All Enrolled candidates will be interviewed via Skype/Zoom (Online mode)".