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Hi, I’m Vikasan Nubolu. I’m a data scientist and AI/ML engineer with 5+ years of industry experience designing, developing, and deploying scalable production-grade ML systems across healthcare, enterprise analytics, and IoT platforms. My strengths include MLOps, cloud-native architectures, real-time inference, distributed data processing, and end-to-end model lifecycle automation. I love translating business problems into deployable AI solutions using Python, Spark, Kubernetes, Docker, and cloud platforms (Azure, AWS, GCP). I enjoy collaborating with stakeholders and cross-functional teams to deliver impact-driven results.…Hi, I’m Vikasan Nubolu. I’m a data scientist and AI/ML engineer with 5+ years of industry experience designing, developing, and deploying scalable production-grade ML systems across healthcare, enterprise analytics, and IoT platforms. My strengths include MLOps, cloud-native architectures, real-time inference, distributed data processing, and end-to-end model lifecycle automation. I love translating business problems into deployable AI solutions using Python, Spark, Kubernetes, Docker, and cloud platforms (Azure, AWS, GCP). I enjoy collaborating with stakeholders and cross-functional teams to deliver impact-driven results.

Vikasan Nubolu

1st Assistant Director, Data Scientist, AI Engineer, +3

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Hi, I’m Vikasan Nubolu. I’m a data scientist and AI/ML engineer with 5+ years of industry experience designing, developing, and deploying scalable production-grade ML systems across healthcare, enterprise analytics, and IoT platforms. My strengths include MLOps, cloud-native architectures, real-time inference, distributed data processing, and end-to-end model lifecycle automation. I love translating business problems into deployable AI solutions using Python, Spark, Kubernetes, Docker, and cloud platforms (Azure, AWS, GCP). I enjoy collaborating with stakeholders and cross-functional teams to deliver impact-driven results.…Hi, I’m Vikasan Nubolu. I’m a data scientist and AI/ML engineer with 5+ years of industry experience designing, developing, and deploying scalable production-grade ML systems across healthcare, enterprise analytics, and IoT platforms. My strengths include MLOps, cloud-native architectures, real-time inference, distributed data processing, and end-to-end model lifecycle automation. I love translating business problems into deployable AI solutions using Python, Spark, Kubernetes, Docker, and cloud platforms (Azure, AWS, GCP). I enjoy collaborating with stakeholders and cross-functional teams to deliver impact-driven results.

Available to hire

Hi, I’m Vikasan Nubolu. I’m a data scientist and AI/ML engineer with 5+ years of industry experience designing, developing, and deploying scalable production-grade ML systems across healthcare, enterprise analytics, and IoT platforms. My strengths include MLOps, cloud-native architectures, real-time inference, distributed data processing, and end-to-end model lifecycle automation.

I love translating business problems into deployable AI solutions using Python, Spark, Kubernetes, Docker, and cloud platforms (Azure, AWS, GCP). I enjoy collaborating with stakeholders and cross-functional teams to deliver impact-driven results.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

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Expert

Expert

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Expert

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Expert

Expert

Expert

Expert

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Expert

Language

English

Fluent

Work Experience

Data Scientist at India (Independent / Freelance)

June 1, 2019 - November 30, 2022

Developed ML models for pricing optimization, uplift modeling, and customer behavior analysis; owned full ML lifecycle from exploratory data analysis to production deployment.

Data Scientist at CVS Health

February 1, 2024 - December 1, 2024

Led predictive analytics projects, anomaly detection, and ML pipelines for healthcare data; applied cross-validation, ROC-AUC, and precision/recall evaluation to optimize outcomes.

AI/ML Engineer at Independent / Consulting

January 1, 2025 - Present

Architected and implemented an enterprise-scale Azure Data Lake, integrating data from AWS and GCP to enable centralized analytics and ML workloads; built containerized ML microservices with Docker, Kubernetes, and Kubeflow; implemented automated testing and monitoring; led cross-functional teams.