Sai Jahnavi G
Senior Data Scientist @Health Data Analytics Institute Hdai
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WORK HISTORY
Senior Data Scientist @Health Data Analytics Institute Hdai
Dedham, MA, US
Developed a RAG solution for clinical note chatbot, building filtering models to remove ~80% of irrelevant notes, reducing LLM inference financial costs and cutting latency-> Deployed 100+ hospital risk models using regularized logistic regression (glmnet) improving discharge planning accuracy-> Collaborated with MLOps teams (JIRA/Confluence) to validate, monitor, and deploy predictive models in production, performing parity testing, partitioned validation, and feature distribution matching on client datasets to ensure fairness and robustness-> Developed utility based framework to rank models by client use cases, prioritizing cost savings, risk reduction, and clinical relevance-> Engineered large-scale datasets using SQL (SAS, Python, R) and AWS ETL workflows; streamlined data pipelines that supported production deployment of patient risk stratification and outcomes forecasting models
EDUCATION
International Institute of Information Technology Hyderabad (IIITH)
B.Tech (Honors) and MS by research, Electrical, Electronics and Communications Engineering
University of Connecticut School of Business
Master of Science - MS, Business Analytics and Program Management
ABOUT SAI JAHNAVI G
Hello, thanks for stopping by, I\'m Sai Jahnavi currently working as Sr. Data Scientist at Health Data Analytics Institute Inc.At work I build real-time prediction models and design cost-optimized, scalable relevance models for Q/A chatbots. My curiosity drives me toward Natural Language Processing from clinical text classification and information retrieval to summarization and Generative AI, including retrieval augmented generation, domain specific LLM pipelines, and inference optimization.I learn best by taking on challenges. Over last 2 years I’ve won seven analytics competitions, blending predictive modeling with business problem-solving. More recently I’ve been participating in agentic hackathons, where in just 48 hours teams design and build GenAI solutions. They’re fast-paced, creative, and keep me connected to the latest ideas.In the coming years I aim to grow into a leadership role while staying close to the technical side of data science. I also enjoy mentoring newcomers, whether it’s working on projects together or helping with interview preparation, because sharing knowledge has always been one of the best ways for me to learn.Outside of work you’ll often find me hiking, playing badminton, swimming, walking by the Hudson River, or dancing Zumba at home. Some days I simply unplug and do nothing, because balance matters. Most of all I enjoy meeting people with fresh perspectives and learning from the way they see the world.
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