Teams at Tiger Analytics

Lead end-to-end analytics consulting engagements: translate business problems into analytics roadmaps, drive program delivery, quantify ROI, align executive stakeholders, establish governance and performance dashboards, and operationalize ML and data solutions across functions.

Lead design and governance of enterprise ontologies, knowledge graph architecture, ingestion pipelines, and semantic layers. Enable semantic interoperability across data products, implement inference and reasoning, and establish standards, versioning, and data contracts to support scalable graph-driven analytics and AI augmentation.

Lead development and refactoring of Python-based optimization algorithms for supply chain and pricing problems. Build predictive models and optimization solutions to improve inventory, allocation, and replenishment. Collaborate with cross-functional teams, design experiments, monitor KPIs, and mentor data scientists.