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I am a passionate Data Scientist and AI Engineer with around three years of experience in designing, building, and deploying cloud-based machine learning models and scalable data pipelines. Skilled in machine learning, AWS, large language models, and delivering end-to-end AI solutions that drive real-world business improvements. With a strong background in data science and software development, I enjoy creating innovative, production-ready workflows using the latest technologies like AWS SageMaker, OpenAI, and Hugging Face. I continuously strive to enhance predictive accuracy and operational efficiency through thoughtful model engineering and automation.…I am a passionate Data Scientist and AI Engineer with around three years of experience in designing, building, and deploying cloud-based machine learning models and scalable data pipelines. Skilled in machine learning, AWS, large language models, and delivering end-to-end AI solutions that drive real-world business improvements. With a strong background in data science and software development, I enjoy creating innovative, production-ready workflows using the latest technologies like AWS SageMaker, OpenAI, and Hugging Face. I continuously strive to enhance predictive accuracy and operational efficiency through thoughtful model engineering and automation.

Sumareethika Edupuganti

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I am a passionate Data Scientist and AI Engineer with around three years of experience in designing, building, and deploying cloud-based machine learning models and scalable data pipelines. Skilled in machine learning, AWS, large language models, and delivering end-to-end AI solutions that drive real-world business improvements. With a strong background in data science and software development, I enjoy creating innovative, production-ready workflows using the latest technologies like AWS SageMaker, OpenAI, and Hugging Face. I continuously strive to enhance predictive accuracy and operational efficiency through thoughtful model engineering and automation.…I am a passionate Data Scientist and AI Engineer with around three years of experience in designing, building, and deploying cloud-based machine learning models and scalable data pipelines. Skilled in machine learning, AWS, large language models, and delivering end-to-end AI solutions that drive real-world business improvements. With a strong background in data science and software development, I enjoy creating innovative, production-ready workflows using the latest technologies like AWS SageMaker, OpenAI, and Hugging Face. I continuously strive to enhance predictive accuracy and operational efficiency through thoughtful model engineering and automation.

Available to hire

I am a passionate Data Scientist and AI Engineer with around three years of experience in designing, building, and deploying cloud-based machine learning models and scalable data pipelines. Skilled in machine learning, AWS, large language models, and delivering end-to-end AI solutions that drive real-world business improvements.

With a strong background in data science and software development, I enjoy creating innovative, production-ready workflows using the latest technologies like AWS SageMaker, OpenAI, and Hugging Face. I continuously strive to enhance predictive accuracy and operational efficiency through thoughtful model engineering and automation.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Data Science Intern at RICEFW Technologies

July 1, 2025 - Present

Developed and deployed cloud-based machine learning models including classification and anomaly detection into web applications using AWS SageMaker, Lambda, and ECS, increasing predictive accuracy by 30%. Built and maintained scalable AWS data pipelines with services such as S3, Glue, CloudFormation, and Terraform for structured and unstructured data used in ML and LLM workflows. Prototyped features powered by large language models including retrieval-augmented generation and contextual diagnostics, leveraging vector databases like Pinecone for semantic search. Automated end-to-end ML and computer vision workflows ensuring scalable and production-ready solutions, including feature engineering, evaluation, deployment, and performance monitoring.

Programmer Analyst at Cognizant Technology Solutions

August 31, 2023 - August 27, 2025

Engineered an XGBoost machine learning model to predict patient financial responsibility, improving payment collections by 25% and reducing claim denials by 32% for healthcare risk management. Designed real-time healthcare analytics dashboards using Kusto Query Language (KQL) and PowerBI, enhancing visibility into patient engagement metrics for stakeholders. Automated ETL workflows with Azure Data Factory, SQL Server, and Python (PySpark), halving data processing times and improving accuracy across healthcare sources. Developed RESTful APIs providing real-time adjudication of financial estimates, improving clean claim submission rates and reducing response times by 40% in revenue cycle management platforms. Conducted exploratory data analysis on over 5 million healthcare claims to identify patterns and anomalies supporting data integrity. Utilized advanced hyperparameter tuning and feature engineering techniques to boost model predictive accuracy by 18%.

Programmer Analyst Trainee at Cognizant Technology Solutions

August 31, 2021 - August 27, 2025

Performed advanced data cleansing, transformation, and aggregation on large retail transaction datasets using Python libraries Pandas and NumPy to ensure data accuracy and integrity. Developed an LSTM-based time-series forecasting model to predict weekly retail demand trends, demonstrating deployment skills using Flask, Docker, and MongoDB.