Production-Ready ML & MLOps (Not Just Prototypes): Proven experience deploying machine learning models into production at scale with measurable business impact, including end-to-end lifecycle ownership (build deploy monitor)
Supply Chain-Focused Modeling: Strong hands-on experience building ML models for supply chain use cases such as demand forecasting, inventory optimization, logistics, and sales/marketing analytics
Advanced Technical Stack (Python + SQL + Azure): Deep hands-on coding expertise in Python, SQL, and Jupyter, with experience leveraging Azure platforms (Fabric, Synapse, Azure ML) for data science
Ability to translate business problems into data science solutions, clearly communicate ROI, and drive measurable outcomes with leadership and cross-functional stakeholders

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Senior Data Scientist (Supply chain management and optimization)

Global Business Ser. 4u