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Pravalika Kashaboina

@pravalikakashaboina

Senior Data Scientist at Wells Fargo building Azure RAG and agent workflows for enterprise knowledge discovery.

United States
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At Wells Fargo, I lead the design and delivery of Generative AI and analytics solutions on Azure. I build RAG and agent workflows that help internal teams find knowledge and automate tasks across banking operations.

I’ve prototyped agent pipelines on Google Cloud and piloted Microsoft Copilot Studio to inform tooling and multi-cloud architecture decisions. I also fine-tune language models and develop secure APIs for enterprise AI applications.

At OPTUM, I worked on AI and data engineering for healthcare claims and clinical documentation. I developed clinical NLP and document processing solutions, including HL7 and FHIR pipelines, coding suggestions, and patient risk models.

Earlier, at Cardinal Health, I built predictive models for healthcare supply chain and demand planning. At Procter and Gamble, I developed SQL and ETL solutions for sales and supply chain reporting.

Experience

Work history, roles, and key accomplishments

Cardinal Health logoCH

ML Engineer

Sep 2015 - Aug 2018 (2 years 11 months)

Worked as a Machine Learning Engineer on a predictive analytics platform for healthcare supply chain and distribution operations, building end-to-end ML solutions that turned large operational and transactional datasets into forecasts, risk scores, and decision support.

Education

Degrees, certifications, and relevant coursework

Montclair State University logoMU

Montclair State University

Master of Science, Computer Science and Information Technology

Master of Science in Computer Science and Information Technology from Montclair State University, completed in December 2013.

Jawaharlal Nehru Technological University logoJU

Jawaharlal Nehru Technological University

Bachelor of Technology, Computer Science

Bachelor of Technology in Computer Science from Jawaharlal Nehru Technological University, Hyderabad, completed in May 2011.

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