Skills
SSIS, SAS, Alteryx, Machine Learning Algorithms
About
Results-driven Data Analyst with 6+ years of hands-on experience in healthcare, finance, and supply chain domains,
skilled in transforming raw data into actionable insights using SQL, Python, and R.
Proficient in developing end-to-end ETL pipelines using Python (Pandas, NumPy), AWS Glue, and Google Cloud
Platform, supporting scalable data ingestion, cleansing, and transformation for large datasets.
Strong command of statistical analysis, A/B testing, regression modeling, and cohort analysis using Python libraries
(Scikit-learn, SciPy, Statsmodels) to support data-driven strategy development.
Adept at building predictive models for risk stratification, cost forecasting, and customer segmentation using machine
learning techniques, aligned with business KPIs and operational goals.
Skilled in designing and deploying data visualizations and executive dashboards using Power BI, Tableau, Looker, and
Excel to monitor key performance indicators and inform decision-making.
Experienced in working with cloud-based data warehouses including Snowflake, Redshift, and BigQuery, supporting
real-time analytics and seamless integration with enterprise data platforms.
Proven ability to collaborate with cross-functional teams including clinicians, financial analysts, product managers, and
IT stakeholders, ensuring analytical outputs meet business and compliance requirements.
Knowledgeable in regulatory standards including HIPAA, SOX, and GDPR, and proficient in implementing data
governance practices, metadata management, and audit readiness protocols.
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