About

Work Experience

• Senior Product Analyst – Revenue Intelligence, Mindtickle

  Aug, 2024 - Present

  Led Product Analytics and AI initiatives for Revenue Intelligence, partnering with Product, Engineering, Customer Success, and executive leadership to drive product adoption, customer health insights, and strategic decision-making.

  • Standardized Monthly Active User (MAU) metrics across five product lines, improving executive reporting consistency and enabling accurate product performance tracking.

  • Analyzed over 11,400 Digital Sales Room sessions using SQL and behavioral analytics to identify engagement patterns, predict customer health, and support proactive interventions across $2.4M of at-risk ARR.

  • Designed and delivered over 120 executive dashboards in Sisense, providing actionable insights for Product, Revenue Operations, and leadership teams.

  • Built a production-grade AI platform integrating Salesforce CRM data and customer conversations to evaluate lead quality and sales execution quality using Large Language Models.

  • Developed a self-service analytics platform processing over 1,300 customer conversations monthly, increasing sales conversion rates by 7% through AI-driven coaching insights.

  • Benchmarked commercial LLMs against locally hosted Small Language Models, reducing inference costs by 30% while maintaining production performance.

  • Designed structured prompt engineering and validation frameworks to reliably extract competitive intelligence, customer objections, product feedback, and sales insights from unstructured data.

• Senior Product Analyst, Razorpay

  Aug, 2023 - Aug, 20241 year

  Owned product analytics for merchant engagement and monetization initiatives, partnering with Product Managers, Engineering, and Business teams to drive product adoption through experimentation and data-driven decision making.

  • Defined product success metrics for merchant onboarding, activation, engagement, and monetization initiatives.

  • Designed end-to-end experimentation frameworks using A/B testing, cohort analysis, and causal inference to evaluate product investments.

  • Led multiple product experiments on gamification initiatives, increasing Gross Merchandise Value (GMV) by 23% while reducing merchant churn by 10%.

  • Performed funnel analysis and customer segmentation to identify adoption bottlenecks and prioritize product roadmap improvements.

  • Built scalable SQL-based analytical workflows and dashboards supporting Product and Business leadership.

  • Conducted root cause analysis on subscription churn and developed predictive analytical frameworks for customer retention initiatives.

• Lead Analyst – Risk Analytics, Razorpay

  Aug, 2019 - Aug, 20234 years

  Led large-scale payment analytics initiatives focused on transaction monitoring, anomaly detection, operational risk, and business intelligence across multiple payment systems.

  • Built automated SQL monitoring systems that identified payment anomalies worth over ₹30 Crore, preventing approximately ₹1.2 Crore in immediate financial leakage.

  • Performed large-scale transaction analysis using SQL to diagnose payment failures, identify root causes, and recommend process improvements.

  • Collaborated with Engineering, Operations, and Product teams to improve payment reliability and operational efficiency.

  • Developed automated dashboards and KPI monitoring frameworks supporting payment health, operational performance, and executive decision-making.

  • Analyzed transaction behavior across multiple payment channels to identify emerging risk patterns and improve business processes.

• Research Analyst, Suprawin Technologies

  Feb, 2017 - Feb, 20192 years

  Performed financial data analysis and anomaly detection for global financial institutions, supporting fraud investigations and operational risk management.

  • Analyzed financial transaction behavior across more than 1,300 business entities using statistical anomaly detection techniques.

  • Produced analytical reports supporting fraud investigations and regulatory compliance initiatives.

  • Collaborated with cross-functional teams to improve investigation efficiency and reporting quality.

Skills