Sumit Kumar

Analytics partner for checkout team supporting product strategy across 1000+ merchant integrations including enterprise clients and major D2C brands. Built end-to-end analytics infrastructure using Airflow DAG to extract logs into ClickHouse data models, reducing time-to-insight and accelerating product iteration speed. Identified high-impact product opportunities through analysis of checkout dropoff patterns, presenting data-driven PRD recommendations. Partnered with PM to define success metrics for payment features, establishing North Star metrics and guardrails. Analyzed transaction patterns across merchants, surfacing insights that informed PM's prioritization strategy and improved merchant activation. Created Redash dashboards enabling stakeholders to independently access insights, reducing analytics bottleneck. Partnered with Product, Engineering, and Business in sprint planning to instrument features, define KPIs, and establish data for feature launches.

Led experimentation and optimization initiatives for India's leading checkout platform serving major D2C brands. Designed and analyzed A/B tests on checkout flows, applying statistical rigor to validate conversion improvement. Led funnel analysis uncovering abandonment at payment stage, insights shaped PM's roadmap and informed UX redesigns. Performed root cause analysis when metrics deviated, diagnosing issues through SQL deep-dives enabling Product/Engineering response. Built dashboards tracking KPIs for weekly product reviews with C-suite. Analyzed retention patterns revealing higher repeat usage and retention, insights shaped PM's feature prioritization and retention strategy. Optimized AWS Athena models reducing query times and saving costs, while establishing experimentation best practices.

Analytics partner supporting strategic decision-making across multiple business units for enterprise consulting firm. Built Power BI dashboards with standardized KPI frameworks across departments, improving decision-making speed. Developed financial models for P&L reporting and competitive analysis, supporting strategic planning. Automated workflows reducing manual effort, enabling self-serve analytics and fostering data-driven culture.

Utilized SQL for supply chain optimization achieving efficiency improvement.