Mounika Kanumuri

Led the enhancement of a Healthcare Claims Processing System (HCPS) by streamlining claims intake, validation, adjudication, and payment workflows, reducing processing time by 20% and improving claims accuracy. Conducted 25+ stakeholder interviews and performed data analysis using SQL and Python to assess claims processing metrics, identifying process inefficiencies and reducing claims rejections

Implemented and optimized hospital operational workflows by integrating data-driven insights, patient management systems, and best practices to enhance efficiency and reduce administrative bottlenecks. Facilitated cross-functional workshops to gather and document Functional and Business Requirements, reducing requirement gathering time by 25%. Applied advanced data analytic techniques using SQL an

Conducted comprehensive business analysis to support the expansion of the healthcare provider network, ensuring alignment with organizational goals and regulatory requirements. Facilitated 30+ stakeholder interviews and developed detailed process models using Visio and BPMN to map out provider onboarding, credentialing, and claims processing workflows, streamlining administrative procedures and re

Pursued advanced studies in Management Sciences, focusing on analytical and quantitative methods for business decision-making. Gained expertise in optimizing organizational processes and strategic planning.

Completed a comprehensive medical degree, covering foundational and advanced topics in medicine and surgery. Developed strong clinical skills and a deep understanding of human anatomy, physiology, and pathology.