Available to hire
I am a data scientist with 4+ years of experience applying ML, DL and NLP to healthcare and financial data to drive decision making. I build models with Python, scikit-learn, TensorFlow, PyTorch, and leverage cloud platforms and MLOps to deploy production-ready solutions.
I enjoy turning complex data into actionable insights, designing ETL pipelines with Spark/PySpark, and exploring GenAI techniques for real-time decision support. I collaborate with cross-functional teams to deliver dashboards and measurable outcomes, while continuously learning and refining models.
Skills
Language
English
Fluent
Work Experience
Data Scientist at CVS Health
January 1, 2024 - PresentDeveloped ML/DL models (XGBoost, TensorFlow, PySpark, scikit-learn) for patient risk prediction and fraud detection. Applied NLP (spaCy, BERT, tokenization) with fine-tuning (LoRA, PEFT, QLoRA) to analyze patient feedback for service quality. Built MLOps pipelines using AWS (SageMaker, Lambda, S3, Glue), Databricks, and Airflow for training, deployment, and monitoring. Implemented real-time AI risk checks with AWS Bedrock to support care management decisions. Optimized SQL workflows in Redshift and Snowflake (window functions, indexing) reducing query times by up to 60%. Maintained large Python (Pandas, NumPy) and PySpark pipelines handling terabytes of data. Deployed ML services with Docker and Kubernetes for CI/CD and auto-scaling. Explored GenAI techniques (RAG, LangChain, prompt engineering) to prototype intelligent clinical decision-support tools.
Data Analyst at HEALTHKART
July 1, 2022 - October 22, 2025Built predictive models for credit risk, churn, and pricing using scikit-learn and integrated model outputs into workflows to improve customer retention. Designed ETL pipelines with AWS (Glue) and Python to normalize data and create reusable auto-scripts reducing manual effort by ~80%. Executed complex SQL queries and enhanced data retrieval with indexing. Created interactive dashboards using Power BI, Tableau, AWS QuickSight, and visualization libraries to monitor KPIs and real-time performance. Developed sales forecasting and cost-usage models using TensorFlow, Keras, and scikit-learn, and performed customer segmentation with KMeans. Implemented automated reporting and monitoring with AWS Lambda and CloudWatch for real-time analytics pipelines using Databricks and S3. Collaborated with cross-functional teams to standardize ETL and reporting processes and upskill analysts on dashboard usage.
Data Scientist at CVS Health
January 1, 2024 - November 11, 2025Developed ML/DL models for patient risk prediction and fraud detection using XGBoost, TensorFlow, PySpark, and scikit-learn. Implemented NLP pipelines with spaCy and BERT, including fine-tuning with LoRA, PEFT, and QLoRA to analyze patient feedback and improve service quality. Designed and maintained MLOps pipelines on AWS (SageMaker, Lambda, S3, Glue), Databricks, and Apache Airflow for training, deployment, and monitoring. Built real-time AI risk-checking systems with AWS Bedrock to support faster clinical decision-making. Optimized SQL workflows in Redshift and Snowflake (window functions, indexing) reducing query times by up to 60%. Maintained large Python and PySpark ETL pipelines processing terabytes of data. Deployed ML services with Docker and Kubernetes for scalable, automated production and testing environments. Explored Generative AI (RAG, LangChain) for clinical guideline retrieval and decision support to enhance accuracy and save time.
Data Analyst at HealthKart
July 1, 2022 - July 1, 2022Built predictive analysis models for credit risk, churn, and pricing using scikit-learn; deployed model outputs into automated workflows to improve customer retention. Designed ETL pipelines on AWS (Glue, SQLAlchemy) and Python, developing reusable scripts that cut manual effort by up to 80%. Optimized SQL queries with indexing for faster reports. Created interactive dashboards using Power BI, Tableau, AWS QuickSight, matplotlib, and seaborn to track daily KPIs and real-time performance for products and marketing. Developed ML models for sales forecasting using TensorFlow, Keras, and scikit-learn with regression techniques. Performed customer segmentation with KMeans and feature engineering, deploying targeted pipelines. Automated reports and monitoring with AWS Lambda and CloudWatch; built real-time analytics pipelines via Databricks and S3 for dashboards. Collaborated with product, engineering, and analytics teams to standardize ETL and reporting processes and upskill analysts on das
Education
Bachelor of Technology (B. Tech) in Computer Science and Technology at Sagi Rama Krishnam Raju Engineering College, India
January 11, 2030 - July 1, 2021Master of Science in Artificial Intelligence at University of North Texas, Denton
January 11, 2030 - May 1, 2024Bachelor of Technology (B. Tech) in Computer Science and Technology at Sagi Rama Krishnam Raju Engineering College
January 11, 2030 - July 1, 2021Master of Science in Artificial Intelligence at University of North Texas
January 11, 2030 - May 1, 2024Qualifications
Industry Experience
Healthcare, Financial Services, Retail, Professional Services, Software & Internet
Skills
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