Senior Analytics & Data Science Leader with 9+ years of experience delivering ₹40 Cr+ in cost optimization, ARPU uplift (+8%), and retention improvement (+10%) across 50M+ users and 3B+ transactions. Proven expertise in predictive modeling, personalization, segmentation, forecasting, and automation at scale. Experienced in leading cross-functional initiatives and heading a high-performing team of 4, scaling BI & ML ecosystems, and shaping C-suite strategies. At Games24x7, I spearheaded analytics-led interventions that directly impacted user engagement, retention, and revenue. By developing real-time churn prediction models and personalized retention strategies, I delivered a 6% uplift in Net Gaming Revenue and a 10% improvement in retention. My work in redesigning contest structures and loyalty programs based on behavioral insights drove higher ARPU and lifetime value while ensuring balanced monetization and user experience. Additionally, I built a statistical revenue forecasting model with 97% accuracy across 3B+ transactions, enabling dynamic budget allocation and ~₹40 Cr annual cost optimization. Previously at RedDoorz, I established the data analytics backbone to drive product, marketing, and supply-side growth across Southeast Asia. I implemented customer segmentation models, recommender systems, and predictive forecasting to improve conversion, retention, and inventory efficiency. My work in dynamic pricing and competitor intelligence using automated web scraping contributed to 22% growth in property acquisition and higher revenue per property. I also managed the company-wide BI infrastructure, streamlining data pipelines across BigQuery, transactional databases, and APIs, saving 1000+ hours monthly and ensuring reliable insights for leadership decisions. This combination of scaling gaming and consumer-tech ecosystems with advanced data science, ML-driven personalization, and BI transformation has equipped me with a unique lens on solving high-impact business problems through analytics.