Navneet Rajagopal

Data Science @EXL

US

Oversee the creation, optimization, and maintenance of SQL/SAS queries tailored to multiple healthcare audit programs (HCD, DME, HBA); engage with subject matter experts to verify audit accuracy and maximize operational efficiency.• Implemented both support vector machine and xgbost based classification systems for monthly audit selections to automate and assist in SME selections for various HCD programs• Supervise end-to-end monthly audit selection for 10+ enterprise healthcare clients, employing tools such as Spark and SQL for large-scale data processing.• Analyzed key metrics on monthly selections, including hit rate, revenue trends, query performance, and pricing discrepancies across Clinical and Payment Integrity audits to proactively identify discrepancies and refine audit strategies.• Spearheaded an effort to transition legacy SAS scripts into a SQL-based pipeline utilizing Microsoft Databricks for DME clients.• Developed a performance scoring model to identify high and low-performing queries across HCD and DME programs, enhancing data-driven decision-making• Conducted A/B testing to optimize query performance, resulting in increased selection rates and improved revenue outcomes