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Rupali Mangesh Sathe

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Rupali Mangesh Sathe

Faculty of Information Technology Department
rupalisathe@mes.ac.in

Education

  • Ph.D. Pursuing: Information Technology, D.Y. Patil University, Navi Mumbai
  • M.E. 2015: Computer Engineering, Pillai HOC College of Engineering and Technology, University of Mumbai
  • B.E. 2011: Information Technology, Cummins College of Engineering and Technology, University of Pune

Research and Consultancy

  • Big Data Analytics with Hadoop on Cloud for Masses
  • Minor Research Grant by University of Mumbai: “IoT based Intelligent Digital Billboard: The Future of Outdoor Advertising.”

Courses

Computer Network and Network Design, Enterprise Network Design, Computer Network Security, Internet of Things, Big data Analytics, Data Structure and Analysis, Database and Information Retrieval, Software Engineering and Project Management.

Important Publications

  • “Extreme Gradient Boosting Based Question Similarity Predictor” International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056, Volume: 08, Issue: , April 2021, p-ISSN: 2395-0072
  • “Ethereum Decentralized Voting System” International Research Journal Of Modernization In Engineering Technology And Science (IRJMETS), Volume 3, Issue 4, April 2021.
  • “Smart Billboard System using Data Mining and IOT” International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056, Volume: 07 Issue: 04, Apr 2020 p-ISSN: 2395-0072
  • "A way Ahead towards Efficient Big Data Analytics: Prime Utilization in Businesses moving to Cloud" International Conference IOT and NGN and Cloud Computing held at Sinhgad Institute Pune, February 2016
  • "Big Data Analytics with Hadoop on Cloud for Masses" International Conference on Emerging Trends of Technology, Dilkap Research Institute of Engineering and Management Studies, Neal India, March 2015
  • "Big Data Analytics with Hadoop on Cloud for Masses", International Journal of Advance Foundation and Research in Science and Engineering (IJAFRSE) Volume-1, 2015 Mumbai ISSN: 2349-4794
  • "A way Ahead towards Efficient Big Data Analytics: Prime Utilization in Businesses moving to Cloud" International Journal ICINC 2016, IJCA - International Journal of Computer Applications, July 2016
  • "New Approach to Big Data Analytics", National Conference on Big Data new Trends organized by HNMRI Pune, January 2015
  • "Embedded Web server implementation for micro controller", National Conference at PHCET, Rasayani, February 2014

Awards and Recognitions

  • Best Paper Award at PHCET Mumbai Research Forum for the paper a novel Approach to Big Data Analytics with Hadoop on Cloud for Masses

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