Chandrashekar Konda
I am a Technical Director (AI) at Oracle’s Cloud Engineering Services Division. My primary responsibility at Oracle is to drive cloud consumption through implementation of AI/Data science projects with consumers across different domains. As part of my job I interact with C-suite executives to develop the AI/Data Science strategy and also lead implementation of AI projects through Oracle technologies.
Prior to Oracle, I was a Lead Data Scientist at CVS-Aetna. I led multiple data science projects focused on improving health outcomes of Aetna members. Causal Inference techniques (such as Double Machine Learning), Natural Language Processing (NLP) and Deep Learning were used for delivering these projects. Some of my work was accepted for poster presentation at the Academy of health’s Annual Research Meeting (ARM).
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“An Information Gain Modeling Approach to Prioritizing Medicare Enrollees for in Home Assessment Visits”, Academy health’s Annual Research Meeting 2020
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“Using machine learning to identify effective health care guidelines for diabetics”, Academy health’s Annual Research Meeting 2021
I have Master’s degrees from University of San Francisco (in Analytics/Data Science) and Indian Institute of Technology (IIT) Bombay (in Industrial Engineering & Operations Research)
Service
- Member of Technical Program Committee - 2nd International Workshop on AI Governance (AIGOV) held in conjunction with AAAI 2025
- Reviewer - International Joint Conference on Neural Networks (IJCNN-2025)
- Secondary reviewer for Association for Computational Linguistics (ACL-2020)
- AI Book reviewer at Manning and Packt publishing
Contact
- chandrak1907 at gmail