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jayanth velugubantla
Junior Business Analyst specializing in customer analytics and BI
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About
Analytics professional with hands-on experience building SQL and Python workflows that turn messy multi-system data into reliable reporting. They’ve delivered measurable impact through automation and customer retention analytics, including cutting month-end reporting from 5 days to 1 day and supporting a churn reduction of about 12%.
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Key Strengths
- Built SQL reporting layer integrating 12 source systems
- Strong data quality validation across messy multi-system data
- Improved reporting query performance by about 50%
- Automated month-end reporting in Python, reducing effort from 5 days to 1 day
- Designed reproducible analytics workflows with validation and logging
- Owned end-to-end churn reduction analytics project
- Used cohort analysis and segmentation to identify high-risk customers
- Contributed to roughly 12% churn reduction
- Standardized retention and churn metric definitions across stakeholders
- Drove dashboard adoption and trust through clear metric documentation
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