Lead end-to-end data efforts: translate business needs into analytics, build forecasting and ML models, create dashboards, automate pipelines, monitor models, and drive data-driven product features.

Develop, train, and deploy object detection and image classification models (YOLO family) for SKU-level shelf recognition. Build automated data pipelines, ML-assisted pre-labeling, versioned datasets, model monitoring, and inference deployments (NVIDIA Triton, Flask). Collaborate with labeling, data, and ops teams, support client onboarding, and produce client-ready reports and KPIs like share of shelf and planogram compliance.