Deekshitha Reddy

Integrated HL7 and FHIR data feeds through SSIS ETL pipelines into a Snowflake data warehouse, reducing weekly data preparation time by 6 hours. Automated cleansing and validation of Cerner EHR data using Python and Pandas, improving data accuracy by 22% and strengthening the reliability of clinical metrics. Built Power BI dashboards with DAX measures to reduce manual reporting effort by 35% and provide leadership faster access to performance insights. Queried Medicare and Medicaid claims using SQL to track HEDIS measures and identify care gaps for population health outreach. Assessed HCC documentation for chronic-condition patients to flag uncaptured diagnoses and support accurate risk scores for value-based care contracts. Analyzed readmission rates and length of stay by DRG versus CMS benchmarks to identify high-cost service lines and support care improvement prioritization.

Audited inpatient and outpatient claims for ICD-10-CM diagnosis coding accuracy, catching errors prior to submission and accelerating reimbursements. Reconciled CPT and HCPCS procedure codes against treatment records to ensure billed services matched documented care, helping prevent underbilling revenue loss. Investigated rejected claims to identify root causes such as incomplete documentation and mismatched charges, reducing rework by 18% through targeted denial management. Verified insurance eligibility and coverage with TPAs before cashless filing, increasing first-pass acceptances by 15% and reducing insurer returns. Coordinated pre-authorization requirements with clinical teams for planned admissions to prevent avoidable claim delays and support smoother discharge processes.

Generated daily production reports in SSRS using SAP data, supporting manufacturing heads in closing gaps against plant targets and improving schedule adherence by 10%. Analyzed inventory movement using Advanced Excel (PivotTables, XLOOKUP) to identify supply variances that reduced excess inventory by 12% and improved stock management. Visualized manufacturing and quality records in Tableau to provide managers clear batch performance visibility and earlier detection of process deviations. Compiled ad hoc management reports on sales and dispatch volumes to support timely month-end business reviews and operational decision-making.