Shahzeb Hussain

WORK HISTORY

EDUCATION

SKILLS

ABOUT SHAHZEB HUSSAIN

I am a supply chain and analytics professional with 9+ years of experience working at the intersection of SCM, data analytics, and optimization, across renewable energy, manufacturing, and FMCG environments.I currently work in Supply Chain Advanced Analytics at General Mills, where I focus on solving end-to-end supply chain problems across network design, inventory optimization, demand–supply planning, and strategic trade-offs. My role involves translating complex data into decisions that scale across large FMCG operating systems.Prior to this, I spent several years leading procurement and analytics initiatives for large infrastructure and manufacturing programs, managing ₹100+ Cr annual spend and supporting multi-GW renewable projects. Across roles, my work has consistently focused on measurable business outcomes, including:• ₹17 Cr (~$2M) annual savings through ERP–SAP analytics and clustering-based sourcing optimization• 20% reduction in procurement lead times using data-driven supplier and equipment segmentation• 12% logistics cost reduction through network and route optimization models• 8% improvement in working capital utilization via inventory optimization and simulation modeling• 100% reduction in reporting turnaround time by building SAP–SQL–Power BI analytics platformsFrom a technical perspective, I have hands-on experience with Python, SQL, Power BI, optimization models, and applied machine learning, and I enjoy working on problems that sit between business strategy and analytical rigor rather than pure reporting.Alongside professional work, I have built multiple applied analytics projects across forecasting, optimization, and machine learning, including demand forecasting using SARIMA, hub-location optimization, recommender systems, and predictive maintenance models. These projects reinforce my belief that analytics delivers value only when embedded into workflows and operating models, not when treated as isolated models.What defines my approach is a systems-thinking mindset. I like breaking complex ecosystems into workflows, systems, and decision layers, and then identifying where analytics and AI can improve decision quality in a practical, scalable way.I am particularly interested in: • Supply chain strategy and network design• Inventory and working capital optimization• Analytics-led transformation in FMCG, renewable energy and manufacturing • Building decision-centric operating modelsAlways open to thoughtful conversations around supply chain analytics, FMCG strategy, and data-driven decision-making