Designed fault-tolerant, scalable Python-based ETL pipelines to ingest, transform, and integrate data from SQL Server, Snowflake, and Azure Data Lake Gen2. Integrated EDI X12 formats (837P/I, 835) and validated claims against CMS NCCI edits. Standardized clinical and billing codes (ICD-10-CM, CPT, HCPCS, DRG, NDC) to improve interoperability between Cerner, Epic, and downstream analytics systems. Applied NLP (SpaCy, NLTK) to clean unstructured clinical notes and extract ICD-10 codes and SNOMED concepts. Implemented de-identification, masking, and tokenization to maintain HIPAA compliance. Conducted root-cause analysis of data discrepancies across Meditech, Cerner, and external claims, reducing reconciliation time by 38% and improving data integrity. Enhanced readmission risk prediction by 21% by engineering temporal features and deploying XGBoost models. Built automated data validation for CMS reporting with T-SQL and SAS macros (99.7% accuracy). Created interactive SSRS reports and Ex

Data Analyst at Accenture

December 1, 2022 - October 9, 2025

Developed optimized SQL/PL-SQL queries to extract and analyze high-volume banking data from Oracle, Teradata, and SQL Server; integrated data with core banking systems while ensuring data standards. Streamlined ingestion from Hadoop HDFS to Hive and Spark using Sqoop and PySpark, reducing query times by 35%. Built ETL pipelines with Informatica, SSIS, and Apache Airflow to migrate data to AWS Redshift and Snowflake with 99% data accuracy. Automated repetitive cleansing tasks using VBA and Python, cutting manual effort by 50%. Leveraged PySpark/Spark for distributed processing, accelerating analytics by 40%. Built credit risk models using Python (Pandas, Scikit-learn, NumPy) and SAS (XGBoost, Random Forest) to improve predictive accuracy by 15%. Applied time-series forecasting (ARIMA, Prophet, LSTM) to delinquency and risk metrics, reducing forecast errors by 20%. Conducted A/B testing to optimize loan products, boosting acquisitions by 12% and conversions by 10%. Ensured Basel III, AML