Dec 2023 – Apr 2026 · 2 yrs 4 mos · Bengaluru · On-site

• · Architected and deployed a SQL + Python-based campaign optimization engine across 25K+ live campaigns, unlocking ₹50 Cr incremental revenue during peak events.
• · Structured ambiguous monetization problem statements into hypothesis-driven analyses; identified ₹40 Cr revenue opportunity via demand-pocket and cohort modeling, converting ₹7 Cr into realized growth.
• · Increased platform ad run-rate by 10% through revenue leakage diagnostics, bid elasticity analysis, and high-intent demand segmentation.
• · Improved demand fill rate by 300+ bps by analyzing auction dynamics using advanced SQL (CTEs, window functions) and implementing bid optimization interventions.
• · Reactivated 500+ dormant sellers, generating ₹1 Cr+ monthly recurring revenue through lifecycle segmentation and CAC optimization modeling.
• · Built and governed a 3-year Ads revenue data repository (SQL-based single source of truth) enabling forecasting, YoY trend analysis, and executive quarterly planning.
• · Automated 4 executive dashboards (SQL, Python, Power BI), reducing reporting TAT by 40% and eliminating 750+ analyst hours annually.
• · Presented data-backed monetization strategy and performance diagnostics to VP and category leadership, directly influencing roadmap prioritization and incentive design.

Sep 2021 – Dec 2023 · 2 yrs 3 mos · Gurugram · On-site

• · Built automated ETL pipelines (Talend + Python API integrations) ingesting GA4 and multi-platform ads data; reduced manual reporting effort by 80% while improving data reliability.
• · Designed advanced SQL queries across large campaign datasets to evaluate performance drivers across CAC, ROAS, CPA, CVR, CTR, and LTV metrics.
• · Structured and analyzed A/B tests for budget allocation and creative optimization, improving client ROAS by 12%.
• · Developed scalable Tableau dashboards integrating cross-channel attribution insights and funnel diagnostics.
• · Translated complex campaign data into executive-ready growth strategy recommendations, influencing channel mix and spend reallocation strategies.
• · Acted as interim team lead for 7 analysts, maintaining 100% SLA adherence and standardizing documentation processes.

Dec 2020 – Apr 2021 · 4 mos · India

• Examined the threshold limits, reporting exposure and loss changes, and portfolio management.
• Performed data analysis using statistical tools (MS Excel, Python) for distinct lines of business.
• Ensured clear and concise communication with onshore counterparts before the final delivery of the project.
• Gained a deep understanding of different insurance coverages and also the location and policy-specific data pertaining to different coverages.

May 2020 – Jun 2020 · 1 mo · New Delhi, Delhi, India

• Assisted doctorate and post-doctorate researchers in data analysis and report writing.
• Performed data collection through cross-sectional studies, online and telephonic interviews.
• Developed databases to accommodate stakeholder profiles.