Krishna Prasanth Brahmaji Kanagarla
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About
An experienced IT professional with around 10 years of expertise in data-centric domains, skilled in a wide array of technologies including DataStage, SAP Power Designer, Big Data ecosystems, and AWS services. Proficient in programming languages like Python, R, and PySpark.
Skills & Expertise
AWS
python
SQL Server 2000 -DTS Packages
Data marts
Data Analytics
Data modeling
Data Base Management
Research Interests
No research interests added yet.
Connect With Me
Experience
Data Engineer
Education
Wilmington University
GITAM - Gandhi Institute of Technology and Management (Deemed to be University), Visakhapatnam
Conferences & Seminars (1)
International Conference on Information Technology and Artificial Intelligence
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Certificates & Licenses (1)
AWS Certified Data Engineer – Associate
Awards & Achievements (1)
🏆 Revolutionizing Relief: Data Innovation Transforms Agriculture
Description
Professional Memberships (1)
IEEE - Institute of Electrical and Electronics Engineers
Country: United States
Patents (1)
Intelligent Data Pipeline Orchestration and Optimization
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Invited Position (1)
Keynote Speaker
Role in Research Journals (1)
Reviewer
Publications (9)
This article provides a comprehensive exploration of Explainable AI (XAI) and its critical role in enhancing transparency and interpretability in data analytics, particularly for complex machine learn...
Artificial intelligence (AI) is rapidly transforming healthcare delivery, promising enhanced diagnostic accuracy, personalized treatment optimization, and improved operational efficiency. This paper p...
This academic investigation examines the bifurcated impact of artificial
intelligence (AI) on contemporary labor markets, analyzing both displacement
effects and employment generation across multi...
This research focuses on the analysis of the role synthetic data could play in the maintenance of privacy under the
GDPR regulations. It considers, for actual effectiveness, some of the methods for...
This study highlights the role of data fabric in modern data ecosystems, especially in
data integration and management. Recent developments in technology around automation and
machine learning hav...
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