Nithya Reddy Vemula
Data Analyst at Cigna | Ex - Deloitte | Masters in Data Analytics at GMU
- Role
- Data Analyst at The Cigna Group
- Location
- Fairfax, VA, US
- LinkedIn followers
- 500 followers
About Nithya Reddy Vemula
Detail-oriented data analyst with 4+ years of experience transforming data into wisdom and delivering tactical solutions using the SDLC Agile methodology. Expertise in data wrangling, mining, transformation, statistical analysis, and visualization using Python, R, SQL, MongoDB, Excel, Tableau, and Power BI. Skilled in writing optimized SQL queries and developing interactive dashboards and reports to improve data accessibility and reporting efficiency. Proficient in cloud solutions, including AWS, Azure, GCP, Snowflake, and Databricks, to enhance data workflows and scalability.
Experience
Data Analyst
Nov 2023 — Present · VA, US
Collaborated with cross-functional teams and stakeholders in an Agile environment, participating in stand-ups, backlog refinement, and retrospectives to improve healthcare data workflows and support cost-saving initiatives. • Extracted, cleaned, and analyzed large-scale EHR data using SQL, Python, and Apache Spark, ensuring 95% data accuracy and HIPAA compliance, to support clinical reporting and data-driven decision-making, leading to higher preventive care utilization. • Designed interactive dashboards and reports using Tableau and Power BI to track healthcare KPIs, patient outcomes, and treatment effectiveness, enabling early identification of high-risk patients and reducing readmission rates by 15%. • Optimized patient scheduling and resource allocation by writing complex SQL queries to retrieve, aggregate and analyze visit patterns and workflow efficiency, reducing waiting times by 20% and improving patient satisfaction. • Analyzed claims data to identify fraud patterns and billing discrepancies using SQL and Excel, leading to policy improvements that reduced fraudulent claims by 10% and enhanced financial integrity through data validation and reporting. • Enhanced pharmacy and claims data processing by assisting in the development of scalable data warehousing solutions on AWS Redshift and Azure, helping to reduce data retrieval time, lower prescription costs, and improve care coordination.
Education
George Mason University
Master of Science
2022 — 2024
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