Samhita Sree Vishnuvajjula
Data Analyst @Prudential Financial
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WORK HISTORY
Data Analyst @Prudential Financial
US
Worked on predictive analysis of customer churn for term life and annuity products. Collaborated with product, marketing, and datascience teams under Agile methodology with regular requirement gathering to reduce churn risk by 15%.• Extracted customer interaction and policy data from Salesforce and internal CRM using SQL JOIN and CTE methods. Built ETL pipelinesusing AWS Glue and processed large datasets via AWS Athena for optimized churn modeling.• Conducted cohort and survival analysis to uncover churn patterns across customer age groups and tenure. Delivered actionableinsights that led to targeted retention campaigns, improving retention rates by 11% in two quarters.• Utilized Python libraries include Pandas for data manipulation, NumPy for statistical calculations, re for pattern matching, anddatetime for time-based segmentation. Processed over 10 million records for churn-related behavior analysis.• Performed data validation using AWS Data Wrangler and quality rules in AWS Glue. Ensured 97% accuracy in model input data byapplying transformation checks and cleaning routines across structured customer records.• Built Power BI dashboards with filters, slicers, drill-throughs, and KPI cards. Used DAX to create custom measures for churn trends byregion and product, enabling leadership to track retention goals in real-time.
EDUCATION
MVSR Engineering College
B.E
Florida Atlantic University
Master's degree
ABOUT SAMHITA SREE VISHNUVAJJULA
Analytical and results-driven Data Analyst with 3+ years of strong expertise in data cleaning, transformation, and visualization. Skilled in SQL, Python, R, Power BI, Tableau, and cloud-based ETL tools like AWS and Azure. Experienced in working with large, complex datasets to uncover trends, build predictive models, and deliver actionable insights. Adept at collaborating with cross-functional teams in Agile environments. Committed to driving data-informed decisions that improve operational efficiency, customer engagement, and business performance across diverse domains.
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