Jun 2022 – Present · 4 yrs · Chennai, Tamil Nadu, India · Hybrid

• Owned customer retention analytics function for 8M+ subscriber base, designing early-warning ML systems that identified churn signals 30 days ahead, preventing estimated $5M in annual losses.
• Boosted customer retention by 8% month-over-month by independently translating complex stakeholder requirements into robust data models and actionable analytics that increased cross-functional satisfaction.
• Led analytics strategy for 3 business units by architecting and maintaining 40+ Power BI/Tableau dashboards serving 15+ C-level executives, enabling $2M+ in retention-focused pricing decisions annually.
• Engineered self-service data validation layer using Python/SQL that reduced manual data quality checks by 60%, enabling 30+ analysts to prototype 4x faster; saved 200+ hours annually in validation overhead.
• Designed and deployed production ML-based data quality platform that reduced reporting failures by 85%, caught anomalies 2 days ahead of SLA breach; governed 50M+ daily records across 8 data sources with zero downstream incidents.
• Strengthened sales retention strategies by providing high-integrity pricing insights and churn signals through the analysis of large-scale CRM and ERP datasets.
• Improved the accuracy of predictive models by ensuring high data integrity through dedicated feature engineering and the preparation of ML-ready datasets.
• Enhanced system performance across AWS and Teradata platforms by optimizing ETL pipelines and Airflow scheduled jobs in close collaboration with the engineering team