QIUSHUO WANG

Boston, MA. 617-***-**** adm7bo@r.postjobfree.com www.linkedin.com/in/qiushuo-arick-wang/

SUMMARY

A performance driven individual with clear understanding of supply chain and business operations, attention to product availability and performance metrics. Eager to contribute to making an impact by materials management and maintaining business relationships with vendors. Uses leadership, problem solving, and interpersonal skills to solve complex problems and manage multiple projects.

SKILLS

Supply Chain: Materials Management, Production Planning, Cost Analytics, Data Analysis, Vendors Management, Inventory Control, Demand, Planning, Transportation Analytics, B2B, Databases Management, Supply Chain Finance

Continuous Improvement: 5S, Root Cause Analysis, Lean Manufacturing, Six Sigma, Value Stream Mapping, Kaizen

Analytical Tools: Microsoft Excel, Microsoft Office, R, Tableau, ERP, SQL, Lingo, Minitab, Python, Power BI, Oracle

WORK EXPERIENCE

PEM (China) Co., Ltd Kunshan, China

Position: Inventory & Warehouses Management (Summer Internship) 05/2019-08/2019

Inventory management drive by customer demands, optimized working capital and minimized costs to ensure supply safety and on-time delivery to customers

Managed and reduced 10% stocking levels to meet seasonal demands and supported the coordination export with customs, global logistics and major internal stakeholders to ensure the smooth flow of goods

Aided in updating inventory reports and tracking daily metrics to help Purchasing team understand inventory levels and risks assessment, conducted control in planning and resolving any issues that may compromise on-time supply

Participated in setting up of tool inventory management database and intelligent tool distribution system, increased work efficiency by 30%, realized by lean concepts and process improvements (SQL)

State Grid Corporation of China Yingkou, China

Position: Solar Power Project Management Analyst 08/2015-12/2018

Increased the company's solar power customer service performance by 200% with customer analysis (R, Tableau)

Reviewed and interpreted supply chain data of daily inbound & outbound shipments, reviewed demand forecast estimates, improved the overall efficiency of the logistics operation by 35%

Collaborate with cross-functional teams in planning, inventory levels (MRP) and system forecasts, adhering to calendar timelines and customer delivery requirements, and to resolve internal issues and customer claims

Analyzed operational data, implemented the S&OP process and improvement opportunities by providing clear insights and strategic recommendations, calculated the differences in materials, time costs, and labor, and reporting results

EDUCATION

Northeastern University Boston, MA

Master of Science in Industrial Engineering & Supply Chain Management (SCM) Graduate Certificate 05/2021

Course Work: Supply Chain Management, Sourcing & Procurement, Demand Planning & Forecasting, Data Mining and Visualization, Operations Research, Statistics, Logistics & Scheduling, Inventory & Warehouse Management GPA:3.6/4.0

Shenyang Institute of Engineering Shenyang, China

Bachelor of Engineering in Electrical Engineering and Automation 07/2015

Certificate

Lean Six Sigma Green Belt Certificate 11/2019

SAP ERP Essential Training Certifications LinkedIn 09/2020

ACADEMIC PROJECTS

Bristol Seafood, LLC Demand Planning and Sales Forecasts 01/2021-03/2021

Used time series and linear regression forecasting methodologies for demand forecasts, merchandising promotion impacts and stock predictive analytics, the model fit reaches 97%, and the prediction accuracy 75%

Researched and analyzed the promotion orders data and promotion forecasts, follow up on the availability and arrival of promotional orders. Compared the gap of forecasts and the actual orders.

Generated Tableau dashboard to analyze and visualize the dollar value data and trend analysis of consumer defections

E-commerce Logistics Network Operation and Delivery Optimization 11/2020-12/2020

Proved simulation models through python and OR-TOOLS to schedule the logistics network and trucks of fewer customers

Transformed real-world VRP (Vehicle Routing Problem) to MST (Mini Spanning Tree) to find a lower bound of transportation costs, and iterated and optimized the model with Iterative Closest Point and Genetic Algorithm

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