Data Scientist
Uber India System Pvt Ltd · Sep 2022 – Present
- Applied Python, SQL, and analytical automation to streamline complex data workflows, optimize query performance, and improve operational efficiency across global Risk & Trust teams.
- Developed scalable data-driven solutions across Account Security, Payment Risk, and Micromobility, deploying 77+ mitigation strategies and contributing to $75M+ in annualized business impact.
- Engineered and optimized large-scale SQL/ETL workflows, reducing query execution time from 30 minutes to 2 minutes, saving 4+ hours per Data Scientist weekly and approximately $100K in compute costs.
- Applied NLP-based techniques to identify emerging phishing patterns and improve detection capabilities, contributing to stopping 98% of the targeted phishing modus operandi.
- Established performance measurement frameworks and dynamic dashboards to monitor system effectiveness, identify anomalies, and support data-driven decision-making.
- Led controlled A/B experimentation to optimize fraud-rule architecture, targeting 30% lower rule overlap and 15% fewer repeat interventions while protecting business impact.
- Optimized precision-recall performance across 20+ strategies, unlocking up to $14M in incremental annualized impact.
- Collaborated with cross-functional engineering and business stakeholders to translate complex requirements into scalable analytical solutions and actionable recommendations.
- Mentored junior analysts and new hires through technical training, code reviews, and structured onboarding.
