Huanzhi Fang

Huanzhi (Albert) Fang, CPIM, CSCP, is a self-motivated senior supply chain and logistics engineer with a proven track record of success in the field.

With 6+ years of accredited education in economics, business, industrial engineering, and statistics, Albert brings a unique analytical and quantitative skill set to engineer effective business solutions.

Having spent 3+ years as an internal consultant in fast-paced and customer-centric environments, he has honed his leadership skills and diligence as a detail-oriented team player.

Albert is a passionate self-learner, constantly acquiring new skills and knowledge through hands-on projects.

As an APICS CSCP and CPIM Certified professional, he has positively impacted customer supply chains across various sectors.

Albert is currently seeking opportunities in supply chain management and logistics solution design to further maximize his contributions and foster continuous professional growth.

His expertise includes Supply Chain Network Optimization with tools such as Infor-CAPS, JDA Transportation Modeler i2, PCMiler, and Maxload.

He is experienced in Facility Design and Simulation using AutoCAD, Sketchup, FlexSim, Rockwell Arena, and UMT Plus.

Albert is proficient in BI and Data Analytics, showcasing advanced skills in complex Excel tool development, Tableau, MS Access, SQL, VBA, and Python.

His academic background includes a Master's Degree in Logistics, Materials, and Supply Chain Management from The Ohio State University, a Bachelor's Degree in Economics from the University of Macau, and additional studies in statistics and economics at various institutions.

Albert has held key roles at reputable organizations such as Amazon and APL Logistics, contributing as a Senior Solution Engineer and Solution Design Engineer.

Prior to these positions, he has served in roles such as Business Process Improvement Intern, Lean Six Sigma Consultant, Strategic Sourcing Consultant, Inventory Control Consultant, and Queuing System Simulation Project Consultant.