Data Scientist at Tempus AI

Designed and deployed enterprise-scale machine learning models for clinical and genomic data analytics, delivering a 32% improvement in predictive accuracy for patient outcome and treatment response. Built and optimized GenAI-powered clinical summarization and insights pipelines using OpenAI GPT-4, LangChain, and vector databases (Pinecone/FAISS), reducing manual report generation time by 60%. Implemented real-time data streaming and processing pipelines with Apache Spark, Databricks, and Kafka, handling over 1M healthcare events per day with 40% lower latency. Established scalable MLOps CI/CD pipelines with MLflow, Docker, Kubernetes, and Jenkins, cutting deployment time from weeks to under 48 hours. Optimized feature engineering with PySpark and Delta Lake, improving processing efficiency and query performance by 45%. Developed predictive models for patient risk stratification and treatment recommendations achieving up to 92% accuracy. Collaborated with clinical and product teams to

Data Scientist at Cognizant (Client: Molina Healthcare)

Developed, tuned, and maintained ML models for healthcare analytics, improving prediction accuracy by 28% in claims, risk scoring, and operational analytics. Monitored model drift and automated retraining pipelines using Azure ML and Python. Designed scalable ETL pipelines with Airflow, SQL, and PySpark processing 500GB+ daily healthcare data, enhancing data reliability by 40%. Built NLP-based ticket classification and case routing systems using Scikit-learn, BERT, and transformer embeddings, reducing manual support effort by 35% and improving resolution speed. Deployed and containerized ML models with Docker and AKS to ensure high availability (99.5%). Developed interactive Power BI and Tableau dashboards for healthcare KPIs, enabling near real-time visibility into claims processing and operations. Optimized SQL queries and database performance, reducing query time by 40%. Collaborated in Agile/Scrum with JIRA, Git, and CI workflows to ensure timely releases.