
Results-driven Data Scientist with 6+ years of experience transforming complex datasets into actionable business insights. Expertise in large-scale data processing, KPI development, and analytics storytelling to drive adoption, growth, and operational efficiency. Skilled in SQL, Python, R, Power BI, and cloud-based analytics with proven ability to partner with ML teams to generate predictive and causal insights.
Programming & Querying: Python (pandas, PySpark), SQL (PostgreSQL, MySQL, Oracle), R
Big Data & Cloud Platforms: AWS (S3, Redshift, Glue), Databricks, Spark, MPP systems
Analytics & Reporting: Marketing Analytics, Customer Adoption Metrics, Product Usage Analysis, KPI Tracking
ETL & Data Pipelines: Custom ETL design, Airflow orchestration, pipeline optimization, automation
Data Modeling & Warehousing: Dimensional modeling, star-schema, OLAP/OLTP, data marts
Visualization & BI Tools: Power BI, Tableau, dashboards, executive reporting
Processes & Governance: Data quality assurance, UAT, HIPAA/GDPR compliance, SLA management
Collaboration Tools: Jira, Asana, Google Workspace, CRM systems
M365 Product & Copilot Adoption Analytics Platform
Marketing Program Impact Analytics
Customer Segmentation & Forecasting for Enterprise Adoption