Dec 2022 – Oct 2025 · 2 yrs 10 mos

• Lead POI hierarchy design and spatial QA architecture to support platform-scale location intelligence use cases across retail, F&B, pharma, and automotive sectors
• Drive standardization of visit validation workflows and behavioral segmentation logic across global client deployments
• Oversee cross-functional QA workflows and anomaly detection pipelines to ensure data quality and platform stability
• Collaborate with engineering, product, and GTM teams to deliver scalable geospatial features, including journey mapping and CDP-based audience layers
• Coordinate feature rollouts and QA sign-off processes aligned with internal roadmap and market delivery timelines
• Guide implementation of LLM-powered QA automation tools to streamline validation, reduce regression cycles, and scale platform testing
• Mentor analysts and interns across GIS workflows, QA strategy, and cross-team collaboration best practices
• Translate enterprise customer needs into platform configurations, ensuring SherlockAI’s geospatial outputs meet region-specific campaign and expansion goals

Aug 2021 – Dec 2022 · 1 yr 4 mos

• I supported SherlockAI’s product and GTM efforts by converting location intelligence into usable business outcomes. My work included behavior clustering, insight delivery, and technical demos, supporting scaled adoption across top enterprise accounts.
• Defined audience filters and behavioral segments by aligning cross-visited POIs, time-based journeys, and persona logic—used in campaign targeting across 8 countries.
• Created interactive dashboards to track behavioral patterns (e.g., brand hopping, occasion clustering) using Superset and Power BI, mapped to over 1M+ customer movement profiles.
• Co-developed similarity scoring for regional consumer cohorts using geospatial + behavioral vectors, enabling smarter customer segmentation for targeted rollouts.
• Worked closely with sales and CS to build solution stories, eliminate feedback loops, and structure roadmap features for regional expansion and upselling.
• Documented 50+ use-cases, insight templates, and QA benchmarks to enable consistent delivery across global clients and cross-functional teams.

Dec 2019 – Feb 2021 · 1 yr 2 mos · Austin, Texas, United States

• Contributed to Apple Pay and Apple Maps readiness through geospatial data validation and issue triage.
• Achieved a 0% defect rate while exceeding team productivity averages by 63% through effective problem-solving.
• Developed queries to standardize Points of Interest (POIs), enhancing data accuracy and team efficiency.
• Successfully trained new hires on data workflows and quality assurance protocols, improving onboarding efficiency.