Data Analyst with 3+ years of experience, a Master's in Health Information Technology, and a background in pharmacy. I specialize in turning complex datasets into clear, decision-ready insights — through SQL reporting, governed data pipelines, and dashboards that stakeholders actually use.
My experience spans healthcare and financial services, giving me a strong foundation in data quality standards, regulatory compliance reporting, and cross-functional stakeholder communication.
🏥 Currently: Data Analyst at Baygrape Technology — delivering analytics across mortgage risk and clinical data domains
🎓 Education: M.S. Health Information Technology, University of Maryland Baltimore County | B.S. Pharmacy, JNTUH
🔍 Targeting: Health IT · Clinical Analytics · Healthcare Data Analyst roles
Analytics & Querying SQL (SQL Server, T-SQL), Python (pandas, matplotlib, seaborn), R, DAX, Machine Learning (Random Forest, SVM, Logistic Regression), Excel (Advanced — pivot tables, Power Query, dynamic formulas)
Reporting & Visualization Power BI, Tableau, AWS QuickSight, SSRS
Data Pipeline & Quality SSIS, SQL Stored Procedures, AWS Glue, Apache Airflow, Data Validation & Error Handling, Anomaly Detection
Cloud AWS Redshift, AWS Lambda, AWS CloudWatch
Healthcare Knowledge (from M.S. HIT curriculum) HL7/FHIR, ICD-9/10 coding, Clinical NLP, EHR Systems (Epic, OpenMRS, OpenEMR, REDCap), Predictive Modeling, HIPAA Compliance
Core Practices Data Warehousing · Data Governance · KPI Monitoring · Requirement Gathering (SME) · Stakeholder Reporting · Regulatory Compliance Reporting
- 📉 Cut data processing time by 40% by automating SSIS-based ETL pipelines across 5+ OLTP sources
- ⚡ Reduced SQL query execution time by 50% through indexing and query optimization for complex risk analyses
- ✅ Maintained 98% data accuracy via SQL validation and deduplication across financial and clinical reporting environments
- 📊 Automated 200+ scheduled financial reports using SSRS and Python, reducing turnaround time by 30%
- 🏥 Reduced hospital peak-time operational delays by 20% through Tableau dashboards tracking patient admission trends
- 🔄 Migrated on-prem SQL Server analytics to AWS Redshift, improving query performance by 50%
🏥 BBR Multi-specialty Hospital — Clinical Analytics SQL Server AWS Redshift Tableau Python (pandas)
Designed Tableau dashboards for patient admission trends that helped hospital administrators optimize staff and resource allocation — reducing peak-time delays by 20%. Built a centralized AWS Redshift data warehouse consolidating patient admission and billing data, with SQL stored procedure ETL pipelines maintaining 98% data integrity.
🏗️ Enterprise Data Warehouse & Reporting Automation SQL Server SSIS Apache Airflow Excel SSRS
Architected a SQL Server data warehouse integrating 5+ OLTP mortgage data sources into a single reporting layer. Automated ETL with SSIS and used Airflow for pipeline scheduling and failure alerting — achieving 95% SLA adherence and 40% faster processing. Built Excel-based automated reports for real-time mortgage analyst decision support.
📊 CDFAnalytics — BI & Cloud Migration Power BI DAX AWS Redshift AWS Glue AWS Lambda AWS CloudWatch
Migrated on-prem analytics to AWS Redshift using AWS Glue ETL workflows. Built Power BI dashboards with DAX measures for executives to track loan performance and default risks in real-time. Automated distribution of 200+ reports via AWS Lambda, monitored by CloudWatch — reducing report turnaround time by 30%.
⚙️ Homeowner Risk Process Optimization AWS QuickSight SQL Python
Led SME requirement-gathering sessions with finance, risk, and IT stakeholders to define reporting and compliance needs. Built an AWS QuickSight reporting framework and a SQL-driven data governance layer with automated quality checks and anomaly detection aligned with federal and state regulatory requirements.
- Clinical NLP for EHR data extraction and clinical documentation improvement
- Health data interoperability and FHIR-based API integration
- AI applications in clinical decision support
Healthcare analytics · Clinical data reporting · EHR data pipelines · Health informatics research · BI dashboard development for health systems
