Skills
• Languages & Tools: SQL, Python, R, Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn
• Visualization & Reporting: Power BI, Tableau, Advanced Excel (Pivot, VLOOKUP, VBA), SSRS
• Data Engineering & ETL: SQL Server Integration Services (SSIS), Informatica, PySpark, Dataflow, Cloud Composer (Airflow)
• Databases: MySQL, SQL Server, PostgreSQL, Oracle, BigQuery
• Cloud Platforms: AWS, GCP (BigQuery, Dataflow, Composer), Azure (basic)
• Big Data & Advanced Analytics: Spark, Machine Learning (Classification, Regression, Clustering, Forecasting, A/B Testing), Deep Learning, NLP
• Methodologies & Collaboration: Agile, SDLC, Lean Six Sigma, Jira, Confluence, GitHub, Bitbucket
• Other: Data Warehousing, Data Mining, Data Cleaning/Wrangling, Predictive Modeling, Hypothesis Testing, Compliance & Audit Analytics (SOX, HIPAA)
About
Detail-oriented Data Analyst with 4+ years of experience in healthcare and financial services. Proven expertise in SQL, Python, R, and cloud platforms (AWS, GCP) to design ETL pipelines, automate workflows, and develop predictive models. Skilled in building interactive dashboards with Power BI and Tableau to provide actionable insights for cross-functional teams. Strong background in fraud detection, healthcare data integration (HL7/FHIR), and compliance (HIPAA, audit, SOX). Adept at statistical analysis, machine learning, and operational reporting, delivering measurable business impact such as reducing fraud losses by $1.2M and improving patient readmission rates by 17%.
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