Ramaa Nathan, PhD
Director, Data Science
Ramaa Nathan is a Director of Data Science at EVERSANA™ with several years of experience in the financial and healthcare industries.
Ramaa is a data scientist and statistician with extensive programming, statistical and data analysis skills. She holds a PhD in computer and information science from the University of Pennsylvania and an MS in applied statistics from Penn State. She is a data enthusiast and has many years of experience in working with different types of data, including healthcare and non-healthcare data. Ramaa has served in several roles in the financial and health care industries as a researcher, software developer, data analyst, project manager, client engagement specialist and data scientist. She is also very engaged in the local data science community and is the organizer of DataPhilly, a community data science group.
Ramaa initially joined HVH Precision Analytics, which is now part of EVERSANA, and worked on developing various models for building complex patient journeys and identifying new patient cohorts using statistical and machine-learning techniques. At EVERSANA, she continues to lead and work on challenging projects focusing on various pharmacological studies, healthcare resource utilization cost analysis, and building predictive models in the area of rare diseases using a variety of techniques.
Before coming to EVERSANA, Ramaa worked as the Director of Strategic Applications at hMetrix, a health care consulting company, where she spearheaded projects for developing NCQA certification software for HEDIS and for developing care management products using EHR and claims data. She also worked with Buddi.AI in its initial stages as a Product Manager and collaborated in the business process modeling of predictive denial management systems in the Revenue Cycle Management (RCM) domain and automated medical coding (ICD) software as applicable to various medical specialties. In the financial sector, Ramaa worked on developing and building high-performance algorithmic models for proprietary trading of equities.
Expertise: Data Science, Predictive Modeling, Real-World Evidence, Healthcare Resource Utilization, Pricing Analysis, Client Engagement