Sruthi T.

Sruthi T. is a skilled Data Analyst with over four years of experience, focusing on high-volume insurance and financial datasets to improve business intelligence. She has demonstrated expertise in building scalable ETL pipelines utilizing Python (Pandas) and SQL, as well as crafting optimized Star Schema data models for enterprise data warehousing. At MetLife, Sruthi effectively engineered ETL workflows using AWS S3, significantly reducing data preparation time and enhancing report generation speed. She also created a Customer Churn Prediction model using Logistic Regression that helped to recover $500k in potential lost premiums. Sruthi excels in developing Power BI dashboards to provide real-time insights to senior leadership. During her tenure at Sage SoftTech, she migrated sales data to PostgreSQL and automated complex reporting tasks using Advanced Excel and VBA, thus streamlining financial operations. Her role involved utilizing Power BI, Tableau, and implementing data governance protocols using Informatica to maintain regulatory compliance and data protection. Sruthi's educational credentials include a Master's in Data Science from Lewis University.