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Chitra Uppalapati
Entry-level Software Engineer specializing in full-stack and machine learning applications
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About
Built production Python data integrations and dashboard automation for incident analytics, with a strong focus on data quality, observability, and reliability for leadership-facing reporting. Also translated an ambiguous manual creator evaluation process at startup Spring into an automated predictive scoring feature, showing a blend of backend data engineering, test automation, and cross-functional product thinking.
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Key Strengths
- Built end-to-end Python integration for incident analytics dashboards
- Strong data quality and edge-case handling in production pipelines
- Production-minded testing and observability for critical systems
- Debugging complex hierarchy-based attribution issues in analytics data
- Stabilizing brittle UI automation for dynamic dashboards
- Cross-functional requirements gathering and stakeholder alignment
- Translated ambiguous manual creator-ranking process into automated scoring product
- Experience with predictive scoring and data-driven product features
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