Nnaemeka Okereafor
Freight Associate @The Home Depot
Signup · Get unlimited contacts
WORK HISTORY
Freight Associate @The Home Depot
TX, US
Supported last-mile retail logistics operations through efficient unloading, categorization, and distribution of inbound inventory shipments.• Applied structured workflow processes to allocate merchandise across departments, ensuring timely shelf replenishment and inventory availability.• Assisted inventory flow optimization by organizing overhead storage and staging areas to minimize retrieval time and operational bottlenecks.• Maintained inventory integrity through inspection, discrepancy identification, and reporting of damaged or misallocated goods.• Partnered with store operations teams to prepare merchandising layouts and maintain operational readiness for daily retail demand.• Promoted safety and operational efficiency within receiving and stocking environments through adherence to standardized procedures.
EDUCATION
Federal University of Technology Owerri Nigeria
Bachelor of Technology (B.Tech.), Project Management Technology
The City University of New York
Master of Science - MS, Data Science
University of Central Arkansas
Master of Science - Computer Science, Data science Concentration
Louisiana Tech University
Doctor's Degree, Engineering and Technology Management
ABOUT NNAEMEKA OKEREAFOR
I’m a U.S. citizen, an optimization and decision analytics specialist focused on operational systems, logistics optimization, and strategic decision modeling under uncertainty. My work sits at the intersection of optimization, analytics, and real-world execution — helping organizations reduce variability, improve throughput, and make high-stakes decisions under uncertainty. I’m a doctoral candidate in Engineering & Technology Management specializing in optimization-driven decision frameworks, simulation, and experimental analytics. Professionally, I’ve built and deployed analytics and optimization systems in logistics, supply chain, and product decision environments, translating models into tools that leaders actually use in production. My experience spans large-scale routing optimization, scenario simulation, risk modeling, A/B testing, and data-driven operational strategy. Technical toolkit includes Python, SQL and Gurobi. My background includes linear, mixed-integer, network, and convex optimization, statistical modeling, machine learning, decision analytics, simulation, and advanced analytics, combined with strong business communication and stakeholder collaboration. I’m particularly interested in roles involving decision science, optimization, product analytics, and operations strategy where quantitative rigor directly informs strategic execution.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.