PRIYANKA NAIR

About

With over nine years of experience, I am a seasoned Technical Strategist & Project Manager, blending deep expertise in Data Science and Data Analytics with innovative education strategies. An alumnus of BIT Mesra, I hold dual master's degrees in M.Tech (CSE) and MBA( HR), and currently advancing my research in Remote Sensing, Geoscience, and Data Science as a doctoral scholar. My work is at the intersection of cutting-edge technology and impactful learning. I am proficient in leveraging advanced Data Science techniques and tools, including Generative AI, to enhance training programs, preparing professionals for the evolving challenges of the digital age. My mission is to create transformative learning experiences that not only drive business success but also foster innovation.

Employment

• Tredence Inc. Associate Manager
  2023 - Present
• Xebia IT Architects Pvt. Ltd. Associate Manager
  2021 - 2023
• JECRC University Assistant Professor
  2018 - 2020
• Poornima University Assistant Professor
  2017 - 2018

Education

• Manipal University Jaipur Doctor of Philosophy
  2019 - Present
• Manipal University Jaipur Master of Technology
  2015 - 2017
• Sikkim Manipal University Master of Business Administration
  2013 - 2014
• Birla Institute of Technology, Mesra Bachelor of Technology
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (5)

• Application of Machine Learning in Mineral Mapping Using Remote Sensing
  IOT with Smart Systems 2023 DOI: 10.1007/978-981-19-3575-6_4
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• Remote Sensing Roadmap for Mineral Mapping using Satellite Imagery
  2nd International Conference on Data, Engineering and Applications (IDEA) 2020 DOI: 10.1109/idea49133.2020.9170677
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• Visual Analytics Toward Prediction of Employee Erosion Through Data Science Tools
  Information and Communication Technology for Sustainable Development 2020 DOI: 10.1007/978-981-13-7166-0_71
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• Employee Attrition Analysis Using Predictive Techniques
  Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1 2018 DOI: 10.1007/978-3-319-63673-3_35
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• An Extensive Conception of Reusability in Software Component Engineering
  Advances in Intelligent Systems and Computing 2017 DOI: 10.1007/978-981-10-2750-5_47
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