Architected full-stack SaaS analytics dashboard with 35+ live metrics, 54 dbt models, and 80+ API endpoints deployed on Vercel

• • Elevated renewal forecast accuracy from 75% to 95% by architecting predictive forecasting system with customer health scoring in Salesforce, reducing quarterly revenue uncertainty by $2-3M
• • Drove Gross Revenue Retention (GRR) from 82% to 89% over 14 quarters by engineering churn prevention analytics pipeline (ClickHouse → Snowflake → dbt → Sigma) identifying at-risk accounts proactively
• • Architected data-driven CSM compensation framework aligning 25% of variable pay to customer health metrics, replacing subjective processes and directly connecting incentives to retention outcomes
• • Spearheaded Customer 360 initiative, a C-Suite priority delivering unified customer visibility across 100+ GTM team members; featured in quarterly board presentations
• • Engineered executive reporting infrastructure delivering 8-12 slides per quarterly board deck, transforming billions of usage data points into strategic insights for stakeholder decision-making
• • Scaled analytics operations 5x through cross-functional collaboration, expanding support from 20 CSMs to 100+ team members across 6 global offices while maintaining 9-figure ARR portfolio

• • Deployed sales operations analytics platform providing pipeline visibility across all revenue stages, enabling data-driven forecasting for leadership
• • Pioneered customer segmentation models identifying high-value expansion opportunities and informing targeted retention campaigns
• • Optimized conversion funnel through cohort analysis, boosting trial-to-paid conversion by 12% and accelerating time-to-value
• • Engineered self-service executive dashboards achieving 100% C-suite adoption, reducing ad-hoc reporting requests by 60%

• • Analyzed user engagement patterns across 2M+ university students, identifying retention drivers that informed product roadmap decisions
• • Developed operational dashboards that streamlined onboarding workflows, improving efficiency by 35% and reducing time-to-activation
• • Automated key business metric reporting, eliminating manual data pulls and enabling real-time visibility for stakeholders

Early team member supporting analytics during critical startup-to-scale transition