Satya Gopalasetty

I am a Data Analyst with 3+ years of experience turning complex data into actionable business insight using SQL, Python, and Tableau. I focus on building robust pipelines and dashboards that drive operational efficiency and strategic decisions.

At Charles Schwab I built and maintained 25+ Tableau dashboards, designed logistic regression churn models across 1.2M accounts, and built Airflow ETL pipelines that cut batch latency from 6 hours to 50 minutes. I also developed Python data validation scripts that reduced compliance-related data errors by 63% and forecasting models with >92% accuracy.

At Mphasis I integrated data from seven systems into a centralized PostgreSQL warehouse, led A/B testing and uplift modeling to increase conversion by ~14%, and created Power BI dashboards that improved on-time delivery by 22%. I automated recurring reports with Python and VBA, saving 10+ hours weekly.

I bridge technical analysis with stakeholder needs to deliver measurable outcomes—reducing manual work, improving data quality, and enabling data-driven strategy. I collaborate across finance, compliance, product, and engineering to align analytics with business goals.