Rahul Deb
ML Engineer | Demand Forecasting & Inventory Optimization | Cloud-Native AI Pipelines (AWS, Azure, GCP)
- Role
- Machine Learning Engineer at Cardinal Health
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Rahul Deb
I’m a Machine Learning Engineer with expertise in demand forecasting, inventory…
Experience
Machine Learning Engineer
Apr 2024 — Present · FL, US
Implemented an ML-based demand forecasting solution using DeepAR, Prophet, and Bayesian models, increasing forecast accuracy by 20% and reducing medical supply chain inefficiencies across multiple hospital networks.• Engineered scalable data pipelines in Python and Spark to integrate sales data, CDC flu reports, hospital admission rates, and weather variables, enabling real-time forecasting for critical healthcare products.• Optimized inventory planning by developing a reinforcement learning model for replenishment strategies, achieving a 12% reduction in stockouts and a 9% decrease in excess inventory across U.S. distribution centers.• Orchestrated the design and deployment of cloud-native ML pipelines using AWS SageMaker and Azure ML, implementing CI/CD workflows and automated monitoring to support production-grade models at scale.• Collaborated with supply chain managers, pharmacists, and data scientists to translate operational requirements into ML features, delivering $20M in annual savings through improved inventory management.• Automated end-to-end data preprocessing, feature engineering, and model retraining workflows with Airflow and Kubernetes, reducing pipeline latency by 30% and ensuring consistent production performance.• Facilitated stakeholder workshops with clinicians, pharmacists, and operations leaders to drive adoption of ML-driven forecasts, ensuring supply continuity during pandemic and seasonal demand surges.• Developed a visual analytics dashboard in Tableau and Power BI to present interpretable model insights and conduct what-if scenario planning, enabling executives to make data-driven supply chain decisions.
Education
University of Illinois Chicago
Bachelor's degree - Data science, Industrial Engineering
Stevens Institute of Technology
Master of Science - MS, Business Analytics and Ai
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