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I'm Srikanth Kumar Nelanti, a Senior Data Scientist and ML Engineer who builds and deploys intelligent systems that connect large-scale data pipelines with modern LLM and MLOps infrastructure. I have over 13 years of experience turning analytical prototypes into production-ready AI platforms at Amazon and Nordstrom. I design GenAI stack architectures from RAG and prompt-driven workflows to scalable, monitored deployments on AWS and GCP. I work hands-on with LangChain, LangGraph, Vertex AI, SageMaker, and Bedrock, and I'm focused on building trustworthy models that scale, explain themselves, and deliver business impact. I value collaboration, mentorship, and responsible AI practices, and enjoy turning data insights into practical business decisions that improve customer experiences and efficiency.…I'm Srikanth Kumar Nelanti, a Senior Data Scientist and ML Engineer who builds and deploys intelligent systems that connect large-scale data pipelines with modern LLM and MLOps infrastructure. I have over 13 years of experience turning analytical prototypes into production-ready AI platforms at Amazon and Nordstrom. I design GenAI stack architectures from RAG and prompt-driven workflows to scalable, monitored deployments on AWS and GCP. I work hands-on with LangChain, LangGraph, Vertex AI, SageMaker, and Bedrock, and I'm focused on building trustworthy models that scale, explain themselves, and deliver business impact. I value collaboration, mentorship, and responsible AI practices, and enjoy turning data insights into practical business decisions that improve customer experiences and efficiency.

Srikanth Kumar Nelanti

Data Scientist, AI Engineer, AI Prompt Engineer, +2

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I'm Srikanth Kumar Nelanti, a Senior Data Scientist and ML Engineer who builds and deploys intelligent systems that connect large-scale data pipelines with modern LLM and MLOps infrastructure. I have over 13 years of experience turning analytical prototypes into production-ready AI platforms at Amazon and Nordstrom. I design GenAI stack architectures from RAG and prompt-driven workflows to scalable, monitored deployments on AWS and GCP. I work hands-on with LangChain, LangGraph, Vertex AI, SageMaker, and Bedrock, and I'm focused on building trustworthy models that scale, explain themselves, and deliver business impact. I value collaboration, mentorship, and responsible AI practices, and enjoy turning data insights into practical business decisions that improve customer experiences and efficiency.…I'm Srikanth Kumar Nelanti, a Senior Data Scientist and ML Engineer who builds and deploys intelligent systems that connect large-scale data pipelines with modern LLM and MLOps infrastructure. I have over 13 years of experience turning analytical prototypes into production-ready AI platforms at Amazon and Nordstrom. I design GenAI stack architectures from RAG and prompt-driven workflows to scalable, monitored deployments on AWS and GCP. I work hands-on with LangChain, LangGraph, Vertex AI, SageMaker, and Bedrock, and I'm focused on building trustworthy models that scale, explain themselves, and deliver business impact. I value collaboration, mentorship, and responsible AI practices, and enjoy turning data insights into practical business decisions that improve customer experiences and efficiency.

Available to hire

I’m Srikanth Kumar Nelanti, a Senior Data Scientist and ML Engineer who builds and deploys intelligent systems that connect large-scale data pipelines with modern LLM and MLOps infrastructure. I have over 13 years of experience turning analytical prototypes into production-ready AI platforms at Amazon and Nordstrom. I design GenAI stack architectures from RAG and prompt-driven workflows to scalable, monitored deployments on AWS and GCP. I work hands-on with LangChain, LangGraph, Vertex AI, SageMaker, and Bedrock, and I’m focused on building trustworthy models that scale, explain themselves, and deliver business impact.

I value collaboration, mentorship, and responsible AI practices, and enjoy turning data insights into practical business decisions that improve customer experiences and efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Language

English

Fluent

Work Experience

Senior Data Scientist at Amazon

July 1, 2022 - Present

Led development and deployment of scalable machine learning models that significantly improved recommendation system accuracy by 12%, contributing to measurable increases in user engagement and revenue. Designed and implemented data-driven solutions to optimize business processes and operational efficiency. Drove innovation in data modeling, feature engineering, and experimentation using Python, R, AWS, and TensorFlow to deliver actionable insights.

Lead Marketing Analytics Analyst at Nordstrom

October 1, 2013 - October 15, 2025

Remote: Delivered actionable insights from large datasets, improving operational efficiency and reducing costs by 18% for key clients across multiple industries. Developed data-driven strategies, scalable dashboards, and automated reporting processes that cut manual effort and accelerated decision making.

Lead Marketing Analytics Analyst at Nordstrom

May 2, 2019 - October 15, 2025

Greater Seattle Area, US: Designed and executed A/B and multivariate experiments to optimize digital campaigns and promotions. Spearheaded customer segmentation frameworks using clustering techniques, enabling more precise targeting and a 15% uplift in engagement and average order value. Collaborated with cross-functional teams and implemented real-time campaign monitoring.

Senior Data Scientist at Amazon

July 1, 2022 - Present

Led the development and deployment of scalable machine learning models that significantly improved recommendation system accuracy by 12%, contributing to measurable increases in customer engagement and revenue. Designed and implemented a data-driven customer segmentation framework using clustering techniques, enabling precision marketing strategies and boosting campaign engagement by 15%. Spearheaded A/B testing and optimization of digital campaigns, resulting in a 5% lift in average order value. Collaborated with product, marketing, and engineering teams to deliver data-driven solutions and improved operational efficiency. Implemented automated reporting pipelines and real-time analytics to support executive decision-making.

Lead Analytics at Infosys

October 1, 2013 - October 15, 2025

Delivered actionable insights from large data sets, improving operational efficiency and reducing costs by 18% for key clients across industries. Developed end-to-end data-driven analytics solutions and mentored junior analysts.

Lead Marketing Analytics Analyst at Nordstrom

May 1, 2019 - October 15, 2025

Led marketing analytics initiatives, building predictive models with 92% accuracy in sales forecasts; developed customer lifetime value (CLV) and churn prediction models; designed and executed A/B tests to optimize pricing, promotions, and customer acquisition; created real-time dashboards and reporting tools to support marketing and merchandising decisions; reduced manual reporting time and improved decision-making across channels.

Lead Analyst at Infosys

February 1, 2011 - October 1, 2013

Built and managed ETL pipelines across Teradata and Oracle; delivered predictive analytics dashboards via Flask APIs and RESTful services. Collaborated with business leaders to translate data insights into strategic initiatives, driving an 18% increase in operational efficiency.