I am a Data Scientist with 4 years of experience specializing in building end-to-end AI and machine learning solutions primarily in the healthcare and automotive domains. I have a strong proficiency in deploying predictive models, natural language processing pipelines, and Generative AI applications using Python and frameworks like TensorFlow and PyTorch, along with AWS services such as SageMaker and Glue. I have successfully developed HIPAA-compliant data pipelines, integrated large language models for clinical and DevOps use cases, and operationalized models with CI/CD tools. My skills extend to translating complex data into actionable insights through interactive dashboards and leading MLOps workflows within Agile environments.…

Sushmitha Kadaboina

I am a Data Scientist with 4 years of experience specializing in building end-to-end AI and machine learning solutions primarily in the healthcare and automotive domains. I have a strong proficiency in deploying predictive models, natural language processing pipelines, and Generative AI applications using Python and frameworks like TensorFlow and PyTorch, along with AWS services such as SageMaker and Glue. I have successfully developed HIPAA-compliant data pipelines, integrated large language models for clinical and DevOps use cases, and operationalized models with CI/CD tools. My skills extend to translating complex data into actionable insights through interactive dashboards and leading MLOps workflows within Agile environments.…

Available to hire

I am a Data Scientist with 4 years of experience specializing in building end-to-end AI and machine learning solutions primarily in the healthcare and automotive domains. I have a strong proficiency in deploying predictive models, natural language processing pipelines, and Generative AI applications using Python and frameworks like TensorFlow and PyTorch, along with AWS services such as SageMaker and Glue.

I have successfully developed HIPAA-compliant data pipelines, integrated large language models for clinical and DevOps use cases, and operationalized models with CI/CD tools. My skills extend to translating complex data into actionable insights through interactive dashboards and leading MLOps workflows within Agile environments.

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Experience Level

Work Experience

Data Scientist at Centene Health, USA
January 1, 2025 - Present
Developed and deployed machine learning models including Logistic Regression, Gradient Boosting, and CNNs using Agile methodologies for fraud detection, readmission risk, and population health, enhancing healthcare data processing by 25%. Engineered secure AWS-based data pipelines with Glue, Redshift, and S3 for real-time claims analytics and utilization tracking and created dashboards using Tableau and SSRS improving latency by up to 40%. Built high-performance PostgreSQL and Oracle databases compliant with HIPAA standards to support claims and coordination workflows. Designed AI/ML solutions leveraging SageMaker, Bedrock, and LangChain for clinical scoring and medical note summarization, improving care team productivity. Implemented generative AI chatbots integrated with EHR data via retrieval-augmented generation, increasing member self-service by 20%. Automated HIPAA-compliant scalable model deployment with CodePipeline, Docker, and GCP Kubernetes, ensuring audit-ready analytics al
AI/ML Engineer at KPIT, India
July 1, 2023 - August 7, 2025
Led Agile AI/ML initiatives for embedded software development including XGBoost-based ECU fault prediction and NLP pipelines with spaCy and BERT, reducing downtime by 15% and enhancing diagnostic efficiency by 20%. Developed deep learning models such as CNNs, RNNs, LSTMs, and Transformers for real-time anomaly detection in automotive telemetry integrated with AIOps to achieve over 90% accuracy and faster mean time to recovery. Built scalable ML pipelines using AWS SageMaker, EC2, Lambda, Redshift, and S3 for edge-cloud telemetry forecasting with ARIMA and Prophet. Fine-tuned large language models including GPT and Hugging Face models for root-cause analysis, log summarization, and chatbot integration in DevOps, boosting engineering support. Containerized AI/ML solutions with Docker, Kubernetes, and Terraform across AWS and GCP for secure and scalable deployment. Applied TensorFlow, PyTorch, and Keras to automate processes and integrate ML into AUTOSAR-compliant validation workflows. Me

Education

Master of Science, Data Science at University of Houston Clear Lake
January 11, 2030 - May 1, 2025

Qualifications

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Industry Experience

Healthcare, Software & Internet, Professional Services

Skills

Experience Level