Results-driven Data Scientist specializing in machine learning, supply chain optimization, and inventory management. Areas of expertise include optimizing inventory allocation, reducing stockouts, and enhancing forecasting accuracy to drive efficiency and cost savings. Proficient in Python, SQL, R, AWS SageMaker, Azure, Docker, Kubernetes, Spark, and Databricks, with a strong focus on MLOps, automation, and data storytelling. Key strength in translating complex data into actionable insights using A/B testing, Tableau, and Power BI. Proven track record of project leadership and stakeholder collaboration to maximize impact.
Python programming
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