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Poornima Kulkarni

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Poornima Kulkarni, Assistant Professor

Educational Qualification

B.E(IS), M.E(SE), (Ph.D)

Experience

Teaching: 10 Years

Area of Interest

Big Data Analytics, Software Engineering
Date of Joining 01/08/2014

Email ID

poornimapk@rvce.edu.in

Papers Published in International Journals:

  1. Poornima Kulkarni, Dr. Cauvery N K, “Personally Identifiable Information (PII) Detection in the Unstructured Large Text Corpus using Natural Language Processing and Unsupervised Learning Technique”, International Journal of Advanced Computer Science and Applications, Vol. 12, No. 9, 2021.

Papers Published in International Conference:

  1. Poornima Kulkarni, Dr. Cauvery N K, “A Big Data Perspective of Individual Privacy Protection Approaches”, 7th IEEE International Conference on Advances in Computing and Communication Engineering, 978-1-6654-4039-4/21/$31.00 ©2021 IEEE.

  2. Poornima Kulkarni, Dr. Cauvery N K, “Personally Identifiable Information (PII) Detection in the Unstructured Large Text Corpus using Natural Language Processing and Unsupervised Learning Technique”, International Journal of Advanced Computer Science and Applications, Vol. 12, No. 9, 2021 -- Scopus indexed.

  3. Srikanth M S, Poornima Kulkarni, G N Srinivasan, “Review on Various Approaches for Extraction of Blood Vessel and its Components from Angiogram Images”, 2020 IEEE International Conference for Innovation in Technology (INOCON) Bengaluru, India. Nov 6-8, 2020.

  4. Richa Pandey, Rajeshwari Sah, Poornima Kulkarni “Approach and Analysis of Machine Learning Techniques for Crime Classification and Prediction”, Advances in Data Mining, 17th Industrial Conference, New York ICDM 2017.

Certification Courses Completed:

  1. Completed the certification courses on “Text Mining, Scraping and Sentiment Analysis with R”, “Big data Hadoop”, “Hive for processing Big Data”, “Machine Learning A – Z: Hands on Python & R”, “R Programming A – Z: R for Data Science with Real Exercises”, “Taming Big Data with Map Reduce and Hadoop – Hands on” from Udemy.

  2. Completed the certification courses on “Data Privacy Fundamentals” from Big Data University.

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Notifications / CIrculars