Divya Pandove Narula
Divya Pandove Narula
Assistant Research Professor
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Divya Pandove Narula
805 21st Street NW, Sixth Floor
Washington DC 20052
Dr. Divya Pandove Narula is a technical leader and an educator with a Ph.D. in Machine Learning and Data Science from Thapar University, India. Currently, she leads a Data Science and Analytics team at a leading global strategic communications firm based in Washington D.C. She works on formulating data driven strategies for Fortune 500 clients and leads product development efforts to solve business problems for internal and external stakeholders.
As a professional lecturer in the Data Science Program at George Washington University, she teaches statistics, machine learning, and data science fundamentals to graduate students.
- “A correlation based recommendation system for large data sets”, Divya Pandove and Avleen Malhi, Journal of GridComputing 19, pp.1-23, 2021.
- “General Correlation Coefficient Based Agglomerative Clustering”, Divya Pandove, Shivani Goel and Rinkle Rani, Cluster Computing, General Correlation Coefficient Based Agglomerative Clustering”, Divya Pandove, Shivani Goeland Rinkle Rani, Cluster Computing, pp. 1-31, 2018
- “An Intuitive General Rank Based Correlation Coefficient”, Divya Pandove, Shivani Goel, Rinkle Rani, Frontiers of Information Technology & Electronic Engineering (Springer), 19(6), pp.699-711, 2018
- “Correlation Clustering Methodologies and their Fundamental Result”, Divya Pandove, Shivani Goel, Rinkle Rani, Expert Systems (Wiley), 35(1), pp. 12229, 2018
- “Systematic Review of Clustering high-dimensional and Large Data Sets”, Divya Pandove, Shivani Goel, and Rinkle Rani, ACM Transactions on Knowledge Discovery in Data,12(2), pp.16, 2018
- “Local Graph Based Correlation clustering (LGBACC)”, Divya Pandove, Rinkle Rani, and Shivani Goel,Knowledge-Based Systems, SCIE Indexed,138, pp.155-175, 2017
- “Predictive General Rank Based Correlation Coefficient”, Divya Pandove, Grace Hopper Conference (Houston- USA), 2016
- “Prototyping and in-Depth Analysis of Big Data Benchmarking”, Divya Pandove, Shivani Goel, 14th IEEE International Conference on Ubiquitous Computing and Communications, Liverpool, pp. 1222-1229, 2015
- “A Comprehensive Study on Clustering Approaches for Big Data Mining”, Divya Pandove, Shivani Goel, International Conference on Electronics Communication Systems, IEEE, pp. 1333-1338, 2015
- “Cyber Laws in IT Industry: A Survey on Awareness”, Divya Pandove, Shivani Goel, International Conference onChanging Perspectives paradigms in business and behavioral sciences, pp.132-134, 2014
- Masters’ Thesis titled “Designing an Interface for Effective Retrieval of Components” based on the concepts of software reuse. It involved designing an interface to test the effectiveness of the system.