Anjali R.
Data Analyst @Baylor Scott & White Health
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WORK HISTORY
Data Analyst @Baylor Scott & White Health
TX, US
Spearheaded the development of ETL workflows using SQL Server, SSIS, and AWS Redshift to integrate over 5TB of structured and unstructured healthcare data from EMR, billing, and claims systems, improving operational reporting efficiency by 40%. Utilized Python (Pandas, NumPy) to clean, preprocess, and standardize patient records, reducing data transformation time by 30% and enhancing analytical accuracy by 20%.• Designed and implemented an AWS Lambda and AWS S3-based real-time data integration solution, reducing ETL processing latency by 50% and enabling near-instantaneous data availability for clinical and operational decision-making.• Conducted exploratory data analysis (EDA) on patient demographics and treatment patterns, uncovering insights that helped improve hospital resource allocation and optimize patient care strategies. Developed complex SQL queries, stored procedures, and data validation scripts in SQL Server, improving data consistency by 25% and eliminating manual reconciliation efforts. Led HIPAA-compliant data governance strategies by implementing encryption techniques (AWS KMS, SQL Server TDE) and role-based access controls, ensuring 99.9% data security and regulatory compliance. Built real-time Power BI dashboards tracking key healthcare metrics, such as patient outcomes and readmission rates, reducing report generation time by 35% and improving executive decision-making. Applied data mining techniques using Scikit-learn and Pandas to identify hidden trends in patient treatment data, leading to a 15% reduction in patient readmission rates. Created machine learning models using Scikit-learn to predict patient appointment no-shows with 85% accuracy, enabling proactive scheduling adjustments and improving patient attendance rates by 20%. Conducted cost analysis on hospital operations, billing, and claims data, identifying inefficiencies that resulted in a 10% reduction in operational costs through optimized resource allocation.
EDUCATION
University of North Texas
Master's degree
Jawaharlal Nehru Technological University
Bachelor of Technology - BTech
ABOUT ANJALI R.
I’m a Data Analyst with over 4 years of experience transforming raw datasets into business-changing decisions, with a strong focus on healthcare and financial analytics. Whether it’s optimizing mental health strategies for a clinical system or improving risk models in finance, I bring full-stack analytics muscle: Python, SQL, R, machine learning, and cloud-based ETL pipelines. At HCA Healthcare, I built predictive models to identify behavioral health risks and engineered scalable, HIPAA-compliant ETL pipelines across GCP and BigQuery. At HCL, I improved investment returns with anomaly detection and automated reporting with AWS Glue and Excel macros. I specialize in: End-to-end data pipelines (Airflow, AWS Glue, Informatica), ML modeling & statistical analysis (Scikit-learn, TensorFlow, regression, classification), Interactive data storytelling (Power BI, Tableau, Excel), Healthcare IT & compliance (Epic EHR, HL7, ICD-10, HIPAA), I don’t just clean data I connect the dots, elevate insights, and empower leaders to act fast and smart. Let’s connect if you’re into solving real-world problems with data, cloud tech, and business sense.
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