Skills
• Programming & Data Analysis: Python (Pandas, NumPy, Matplotlib, Scikit-learn), R, SQL (CTEs, Window Functions, Query Optimization), Excel (Advanced, VBA), Time Series Forecasting (ARIMA, Prophet), Clustering (K-Means)
• Databases & Cloud Platforms: Snowflake, PostgreSQL, MySQL, Oracle, BigQuery, Databricks, AWS (S3, Redshift),
Azure, GCP, Parquet, Delta Lake
• Data Engineering & Processing: ETL/ELT, dbt, Apache Airflow, Spark SQL, Kafka, Incremental Loading, Data
Partitioning, REST APIs, JSON, EDI 837/835, FHIR/HL7
• BI & Visualization: Power BI (DAX, Calculation Groups), Tableau, Looker, LookML, PowerQuery, KPI Dashboards
• Analytics & Governance: Hypothesis Testing, A/B Testing, Regression Analysis, Trend Analysis, Predictive Modeling,
Anomaly Detection, Data Validation, Data Quality Monitoring, Great Expectations, Reconciliation, Lineage, dbt Metrics
• Healthcare & Banking Domain Knowledge: HIPAA, HEDIS, STAR Ratings, Risk Adjustment (HCC), ICD-10/CPT,
PMPM, MLR, BSA/AML, KYC/CIP, Basel III, IFRS 9, CECL, CCAR/DFAST
• Collaboration & Process Improvement: Root Cause Analysis, Requirements Gathering, Documentation, UAT, Agile,
Jira, Confluence, Git, Stakeholder Management, SAP, Saa
About
Data Analyst with 5 years of experience analyzing large-scale healthcare, banking, and retail datasets to support reporting,risk analysis, and operational decision-making. Skilled in SQL, Python, Excel, Snowflake, and BI tools including Power BI and Tableau, with hands-on experience developing scalable reporting pipelines, automated workflows, and KPI dashboards.
Strong background in data validation, reconciliation, trend analysis, and performance monitoring across regulated business environments. Experienced in translating complex data into actionable, business-focused insights that improve reporting accuracy, operational efficiency, and stakeholder visibility.
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