Kumar Teja Chitta

Data Scientist @Centene Center For Health Transformation

US

Designed and deployed end-to-end ML pipelines using Python, Scikit-learn, and TensorFlow, achieving up to 92% accuracy in predictive models for patient risk stratification, disease forecasting, and healthcare utilization trends. • Applied NLP and CV techniques (BERT, GPT, YOLO, OpenCV) to automate clinical text classification, medical sentiment analysis, and diagnostic image detection, improving efficiency of claims processing and patient careanalytics. • Built advanced NLP solutions using NLTK, spaCy, TextBlob, Hugging Face Transformers to power patient feedback sentiment analysis, intelligent healthcare chatbots, and provider query automation, enhancing member engagement by 40%. • Delivered data visualizations and interactive dashboards in Tableau, Matplotlib, and Seaborn, translating complex clinical and claims data into actionable insights for physicians, care managers, and executive stakeholders. • Developed and orchestrated AI agents using LangChain, OpenAI APIs, and vector databases (Pinecone, FAISS) to automate prior-authorization workflows, medical record retrieval, and decision support in care management systems. • Managed structured healthcare datasets in MySQL, ensuring secure, HIPAA-compliant data storage and efficient preprocessing for model training, validation, and large-scale population health analytics.