Avinash Vallala

About Avinash Vallala

Currently serving as a Business Analyst at The Cigna Group, contributing to the development of a healthcare fraud detection platform. Work involves gathering and documenting business requirements using JIRA and Confluence, analyzing extensive healthcare claim data with SQL, and creating real-time fraud monitoring dashboards in Power BI integrated with Snowflake. Pursuing a Master’s degree in Computer Science at the University of Bridgeport to deepen technical expertise. Previous experience at Deloitte includes collaborating on financial reporting systems, designing workflows, and using tools like Tableau, SSRS, SQL, and Python to enhance reporting and data accuracy. Proficient in Agile methodologies, Scrum practices, and User Acceptance Testing, with AWS certifications in Cloud Developing and Cloud Foundations.

Experience

1. Business Analyst

   Cigna Healthcare

   Jan 2025 — Present · US

   Spearheaded requirements gathering for fraud detection analytics platform, facilitating stakeholder sessions using JIRA and Confluence, documenting BRD and user stories, analyzing 1 million claims records, reducing fraudulent leakage by 18%. • Mapped AS-IS and TO-BE processes using Visio and performed GAP analysis, identifying inefficiencies claims workflows, streamlining fraud detection processes and improving efficiency across compliance and risk management teams. • Performed root cause analysis analyzing large-scale claims datasets using SQL Server, identifying anomalous billing patterns and fraud indicators, improving detection accuracy and enabling faster identification of high-risk transactions. • Conducted exploratory data analysis using Python (pandas, NumPy) on large healthcare datasets, identifying behavioral anomalies and trends, supporting fraud detection strategies and improving analytical insights across risk management teams. • Developed dashboards using Power BI integrated with Snowflake, visualizing fraud trends across millions of transactions, enabling real-time monitoring, improving stakeholder visibility and supporting decision-making compliance teams. • Led UAT planning and execution using Advanced Excel for test case validation and reporting, ensuring system accuracy, improving user adoption, and reducing post-deployment defects across fraud detection reporting systems.

Education

• Maharishi University of Information Technology

  Bachelor computer applications, Computer Science

• University of Bridgeport

  Masters, Computer Science