Sai Raghav V

Partner with marketing, actuarial, and product teams to improve retention analytics and campaign performance through structured requirements management and data-driven reporting initiatives. • Lead stakeholder workshops and translate business needs into FRDs and user stories across Agile release cycles. • Analyze large policyholder datasets using SQL and Power BI to identify churn drivers, improving segmentation accuracy by 25%. • Define KPIs including retention rate and campaign performance; build reporting frameworks used by cross-functional stakeholders. • Support sprint planning and backlog refinement to align technical delivery with business objectives. • Execute UAT and collaborate with engineering teams to validate feature enhancements before production release. • Automate reporting workflows using Power Query and advanced Excel, reducing manual effort by 40%. • Implement data validation controls within reporting pipelines, reducing discrepancies by 30% and strengthening governance standards. • Contribute to A/B testing and digital tool improvements, increasing user engagement by 25%.

Led process optimization initiatives to improve retail account onboarding efficiency and reduce operational risk through structured requirements gathering and automation. • Conducted stakeholder interviews across compliance, operations, and IT teams to gather functional and non-functional requirements and identify onboarding process gaps. • Mapped As-Is and To-Be workflows using BPMN in Microsoft Visio, identifying bottlenecks and reducing account opening cycle time by 25%. • Applied Lean Six Sigma (DMAIC) methodology to eliminate 12% of non-value-added activities, improving processing efficiency and operational capacity. • Performed gap analysis of legacy systems and collaborated with IT to implement UiPath RPA, automating 35% of manual tasks and reducing errors by 10%. • Created structured process documentation and requirement specifications, improving cross-team alignment and reducing knowledge transfer time by 15%. • Supported UAT planning and validation to ensure automation and system enhancements met business and regulatory requirements. • Built Tableau dashboards to monitor onboarding KPIs, achieving sustained improvements including 25% faster processing time, 8% fewer errors, and 12% higher customer satisfaction.

Conducted in-depth analysis of digital marketing tools, evaluating their effectiveness through experimental and theoretical methods, and produced detailed reports to guide strategic decision-making. Collaborated with cross-functional teams to optimize marketing strategies and improve campaign performance, contributing to enhanced business growth and a deeper understanding of digital marketing analytics. Gained hands-on experience in data-driven marketing, campaign optimization, and team collaboration, while developing strong analytical and problem-solving skills.

Completed advanced coursework in Systems Analysis & Design, Business Data Analytics, Database Management, Machine Learning for Business, and Cybersecurity Analytics. Led multiple team-based projects focused on requirements gathering, process modeling (BPMN), ER diagram development, SQL-based data analysis, and dashboard reporting using Power BI and Tableau. Developed structured documentation including use cases, BRDs, and system specifications to support business-driven technology solutions.