Goutham P

Data Scientist @Cigna Healthcare

US

Developed and deployed machine learning and deep learning models using PyTorch, TensorFlow, and Hugging Face Transformers for financial forecasting, fraud detection, and portfolio optimization. • Developed and deployed predictive models using Python (Scikit-learn, XGBoost, TensorFlow) to identify high-risk patients and optimize care management programs, improving health outcomes and cost efficiency. • Built and maintained data pipelines in PySpark and AWS Glue for ingesting, cleaning, and transforming large-scale healthcare data (EHR, claims, and demographics) into analytics-ready formats. • Implemented NLP techniques and LLM-based solutions to extract key medical entities from unstructured clinical notes, enhancing provider insights and claims automation. • Created Power BI dashboards visualizing utilization, risk scores, and patient outcomes, enabling data-driven decision-making across actuarial and clinical teams. • Partnered with cross-functional teams to perform statistical analysis, A/B testing, and forecasting for population health management and predictive cost modeling. • Deployed end-to-end ML workflows using MLOps frameworks (AWS SageMaker, MLflow, Docker) to ensure scalable, compliant, and reproducible model delivery across healthcare operations.

University of Illinois Springfield

Master of Science - MS