Kartheek Pamarthi

Editorial Review Contributions

I’ve reviewed 30 publications across 7 major journals in artificial intelligence, data engineering, and big data domains.

Universal Journal Submission Hub (UJSH) 5

Reviewed topics:

  • AI-Powered Data Governance in Healthcare Technology
  • Generative AI and Its Impact on Big Data Technologies
  • Data Visualization Techniques for Effective Communication
  • Machine Learning Models for Predictive Analytics in the Insurance Industry
  • Generative AI and Its Impact on Big Data Technologies
Global Research Gateway (GRG) 5

Reviewed topics:

  • AI and Big Data Analytics in Consumer Product Development
  • Big Data Analytics for Credit Card Payment Collections and Recovery
  • Data Privacy and Security Challenges in AI-Powered Applications
  • Data-Driven Approaches to Cybersecurity in Cloud Computing
  • Leveraging Big Data for Enhanced Cybersecurity in Information Systems
International Journal of Computer Applications (IJCA) 2

Reviewed topics:

  • Evaluating the Limitations of Data Warehouse Platforms
  • Integrating Data Science and AI for Superior Decision-Making
IJCSERD 10

Reviewed topics:

  • Harnessing the Hadoop Framework for Effective Big Data Analytics
  • Enhancing Mobile Networks through Unified Data Modeling
  • Addressing Small File Challenges in Hadoop
  • Deep Learning Approaches for Big Data
  • User Data Analytics via the Hadoop Ecosystem
  • Applications of Big Data in Healthcare
  • Stock Market Prediction using Predictive Analytics
  • Big Data Analytics & Cloud Infrastructure
  • Feature Subset Selection Using Hadoop
  • Unstructured Big Data Visualization Techniques
IJCET 2

Reviewed topics:

  • Customer Engagement with Data Science in Marketing
  • Web-Based Automation for Data Science Workflows
IJDSRD 4

Reviewed topics:

  • Ethical Challenges in FinTech AI and Big Data
  • Trends and Real-World Big Data Applications
  • Scalable IoT Data Analysis with ML
  • ML Integration in Big Data Analytics
IJBDI 2

Reviewed topics:

  • Managing Massive Data Volumes in Big Data Environments
  • Review of Modern Data Science Applications in Big Data
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