Summary
Deepika Rao is a risk analyst and aspiring data scientist with eight years of experience applying machine learning and time-series techniques to financial markets, currently driving Market Risk Analytics at Morgan Stanley. She has modernized risk infrastructure by refactoring a Full Revaluation vs Greeks RNIV codebase into an object-oriented framework, migrated models from R to Python, and built robust pipelines for cleaning longer-dated tenor market data used in VaR. Deepika pairs hands-on generative-AI experience—building document QA and summarization tools with LangChain, GPT-4 and vector stores—with a strong academic foundation (MTech in AI, 3.77/4.0). Comfortable across the stack, she also has prior app development experience in React Native and XamarinForms, which informs pragmatic engineering and product-aware solutions. Colleagues describe her as a lifelong learner who blends statistical rigor with practical automation to improve model accuracy and operational efficiency.
8 years of coding experience
Bachelor of Engineering - BE, Computer Science, 9.00 CGPA, Bachelor of Engineering - BE, Computer Science, 9.00 CGPA at NEW HORIZON INSTITUTE OF TECHNOLOGY AND MANAGEMENT
78%, 78% at Pace Junior Science College
Master of Technology - MTech, Artificial Intelligence, 3.77/4.00, Master of Technology - MTech, Artificial Intelligence, 3.77/4.00 at SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering
94.60%, 94.60% at Saraswati Vidyalaya High School and Junior College
English, Marathi, Hindi