Rupanjali Chaudhuri

About Rupanjali Chaudhuri

Passionate Data Science Leader with interests towards AI/ML applications- Delivered AI/ML solutions in population health, revenue cycle management, semantic interoperability, medical signals, and medical imaging using ML techniques, natural language processing, deep learning and time series forecasting- Hands-on with expertise in code implementation with Python- Experienced in end-to-end model development lifecycle including productionizing at scale- Thought AI leader with multiple publications in peer-reviewed journals and conference participation as speaker- Experience in leading and growing the Data Science team in current and previous organization- Experience in mentoring interns from reputed Institutions- Post-doctorate at Indian Institute of Science (IISC), Bangalore- PhD in Bioinformatics from University Of Pune. Mentors:PhD: https://en.wikipedia.org/wiki/Srinivasan_RamachandranPostDoctorate: https://en.wikipedia.org/wiki/Manju_Bansal

Experience

1. Senior Manager Applied Sciences

   Oracle

   Jan 2025 — Present · Bengaluru, IN

   Clinical AI Agent (CAA) Ambient for Specialty, Region ExpansionOrders AI Agent: Real time Search and Recommendation engineSepsis AI Agent to automate SEP-1 compliance monitoring, addressing one of the highest-cost hospital conditions (~$62B annually) and reducing Medicare reimbursement risk under the CMS Value-Based Purchasing (VBP) program.Patient Propensity-to-Pay AI agent to address bad debt within patient-owed A/R. Machine learning model that predicts likelihood of payment at the time of bill generation or cost estimation, enabling data-driven segmentation and optimized collections strategies.

Education

• Institute of Genomics and Integrative Biology

  Doctor of Philosophy (Ph.D.), Bioinformatics

  2007 — 2013

• Indian Institute of Science (IISc)

  Post Doctorate, Biomathematics, Bioinformatics, and Computational Biology

  2013 — 2014

• Banaras Hindu University

  MSc, Bioinformatics

  2005 — 2007

Skills

• Protein Chemistry
• Molecular Biology
• Perl
• Data Science
• Genomics
• Statistics
• Software Development
• Python
• Lifesciences
• Computational Biology
• Sequence Analysis
• Molecular Modeling
• Predictive Modeling
• Databases
• Html
• Statistical Modeling
• Time Series Analysis
• Data Analysis
• Shell Scripting
• R
• C
• Programming
• Mysql
• Life Sciences
• Sql
• Linux
• Matlab
• Bioinformatics
• Text Mining
• Proteomics
• Data Mining
• Demand Forecasting
• Machine Learning
• Analytics
• Big Data