New York City Metropolitan Area
• Conduct large-scale data analysis on autonomous vehicle fleet logs to identify system failure patterns and quantify risk drivers • Designed metrics frameworks to evaluate perception system performance and diagnose anomaly patterns across millions of sensor frames • Developed statistical analyses and prototype models to understand relationships between perception errors and downstream outcomes • Collaborated cross-functionally with engineering and research teams to translate analytical insights into product and system improvements
Designed the measurement framework and metrics for AI workflow debuggability, hardware ROI, and user violation enforcement. Led long-term hardware capacity planning, aligning investment plans across 10+ monetization orgs, Finance, and senior leadership. Led infrastructure cost attribution, providing deep insights into hardware usage to identify costsaving opportunities and improve efficiency.
Designed the measurement framework of TikTok Shop & Collection Ads Identified bottlenecks and opportunities for TikTok Shop growth Created and improved audience engagement metrics for TikTok monetization products Standardized the process of AB testing Analyzed the impact of IOS 14.5 on experimentation and product iteration Established revenue forecast methodology and built targeting strategies that aligned the efforts of sales, marketing, and data teams
Analyzed global customer support data, identified three major sources of procedural delay and found opportunities to improve SLA by 30% Created methodology to identify unproductive patterns in support ticket actions
Conducted extensive marketing mix modeling analysis to measure the efficiency of digital ads including social networks, videos, banner ads, and search on consumer health products Created a cluster-based approach to generalize knowledge obtained in selected markets Developed a model-based methodology as an internal alternative to vendor forecasts, standardized revenue forecasting process and drove its adoption by all departments