Oct 2023 – Aug 2025 · 1 yr 10 mos · San Jose, California, United States

• Client: Leading Short Form Video Streaming Platform
• Lead A/B testing, user segmentation, quota modeling initiatives to identify creater growth opportunities and improveming ROI.
• Build scalable reporting frameworks and redesign processes, ensuring KPI alignment for marketing strategies, leading to data-driven decision-making.

May 2023 – Oct 2023 · 5 mos · United States · On-site

• • Managed end-to-end customer analytics from crystalizing business need to deploying Power BI reports for accurate insights, driving data-informed business decisions.

Nov 2022 – Apr 2023 · 5 mos · Minneapolis, Minnesota, United States · Remote

• Optimization of Marketing Budget for Hospitality Services Provider (Python | SQL | R)
• Achieved 5% increment in marketing ROI on personalized promotions by designing experiments for A/B tests.
• Streamlined $50M marketing spend by offering customer behavior specific budget using Reinforcement Learning.
• Root Cause Analysis for Testing Service Provider (Python | R | SQL | Power BI)
• Identified pain points in the candidate’s certification journey by defining 5 KPI process to monitor disparity in scores.
• Scoped 1600+ cities using matching to find the causal impact of study resources and demographics on test scores.
• Created an actionable Power BI dashboard for leadership to effectively plan resources for underperforming cities and candidates.

Jun 2019 – May 2022 · 2 yrs 11 mos · Bengaluru, Karnataka, India

• Saved $1M+ by implementing seasonality analysis in SQL/Tableau for data-driven maintenance of airline servers.
• Boosted price realization by 5% by optimizing pricing per fare class for airline alliance using ensemble models.
• Led org-wide initiative to reduce personal data usage in flight’s QC testing and become GDPR compliant by applying statistical sampling methods on passenger booking datasets.
• Gained 10% in accuracy of flight cancellation prediction by applying customer segmentation before regression.
• Orchestrated SQL-based automated reporting system to track customer demand with product performance metrics, generating ad hoc reports of turnaround time and reducing manual hours by 95%.
• Revamped data warehousing process and improved operational efficiency by 70% by simplifying ETL process for integration of flight schedules data from 100+ airline servers.
• Generated revenue of $10M+ by understanding business context and developing custom APIs and backend algorithms to provide revenue management services to 100+ airline clients.
• Enhanced customer engagement by 30% by actively facilitating stakeholder and customer collaboration to drive alignment in business requirements and improve product health metrics.

Jan 2019 – May 2019 · 4 mos · Bengaluru, Karnataka, India

• • Automated and streamlined flight data creation processes for 120+ airlines by developing custom REST APIs and front end for a self-service system, reducing manual hours by 80%.