Supply Chain Inventory Management

MOHAMMAD HASSAN

Milpitas CA LinkedIn ******************@*****.*** +1-747-***-**** Portfolio GitHub Summary

Highly skilled Supply Chain Analyst with 4+ years of expertise in logistics, inventory management, and data analysis. Proficient in optimizing transportation costs, enhancing operational efficiency, and leveraging tools such as SQL, Power BI, SAP ERP, and Excel to improve decision- making. Experienced in demand forecasting, real-time monitoring with Kanban, and implementing SAP-based inventory management systems to streamline operations. Demonstrated ability to reduce costs, enhance on-time deliveries, and improve supply chain performance by tracking KPIs and optimizing processes across procurement, transportation, and warehouse operations. Technical Skills

• Programming & Data Analysis: SQL, Python (Pandas, NumPy, Matplotlib, Scikit-learn), Excel (Pivot Tables, Macros, Power Query, Advanced Formulas), Time Series Analysis, Regression Models

• Data Visualization & Reporting: Power BI, Kanban Boards, Interactive Dashboards

• ERP & Supply Chain Systems: SAP ERP & S/4HANA, Oracle NetSuite, Microsoft Dynamics 365, SAP-based Inventory Management Systems, Logistics Optimization, Procurement Analysis

• Forecasting & Analysis: Demand Forecasting, Predictive Analytics (ARIMA, Exponential Smoothing, Regression Models), Scenario Planning, Machine Learning–Driven Forecasting, Inventory Optimization

• Process Improvement: Root Cause Analysis, Process Optimization, KPI Tracking (On-Time Delivery, Inventory Levels, Freight Costs), Lean Six Sigma, 5S Methodology

• Tools & Technologies: SAP, Power BI, Excel, SQL, Kanban, Regression Models, Time Series, Statistical Analysis, 5S Professional Experience

Supply Chain Analyst, GXO Logistics, Inc. 05/2024 – Present Remote, USA

• Analyzed logistics and transportation costs, optimizing carrier routes and shipment schedules, achieving 15% reduction in delivery expenses while improving operational efficiency and customer satisfaction.

• Extracted and integrated logistics datasets using SQL, enhancing data availability by 20% and enabling deeper insights into transportation trends for better operational decisions and performance tracking.

• Developed user-friendly dashboards in Power BI to track key metrics like delivery times, freight costs, and route efficiency, boosting decision- making efficiency by 40% across logistics operations.

• Automated freight cost calculations and carrier performance tracking using advanced Excel features such as Pivot Tables, Macros, and Power Query, reducing manual reporting by 30% and ensuring accurate data for performance evaluation.

• Conducted cost-benefit analyses for carrier contracts and route strategies, leading to 12% increase in on-time deliveries by selecting optimal routes and scheduling strategies.

• Utilized SAP ERP for real-time monitoring of procurement and logistics operations, enhancing supply chain visibility and ensuring seamless cross-functional coordination between procurement, inventory, and delivery functions.

• Optimized demand forecasting models using statistical methods like time series analysis and regression models, improving prediction accuracy by 18% and supporting better resource allocation in transportation and delivery planning.

• Implemented SAP-based inventory management systems to streamline inventory tracking and optimize stock levels, reducing stockouts by 25% and improving overall supply chain efficiency.

• Identified and resolved recurring transportation bottlenecks through root cause analysis, successfully reducing delays by 85% and cutting delivery times by 10% across major regions.

• Supported SOP updates based on process mapping and informal time studies, contributing to 20% improvement in workflow standardization and reducing process variation across warehouse operations.

• Introduced automation into our MRP process, significantly cutting down manual reorder tasks and boosting material availability by roughly 20%, leading to smoother and more efficient inventory management. Supply Chain Analyst, Scale Global Ventures 05/2020 – 12/2022 Remote, India

• Extracted and integrated supply chain data using SQL, improving data accuracy by 25% and enabling better tracking of KPIs such as on-time deliveries and inventory levels for better decision-making.

• Developed dynamic reports in Excel using Pivot Tables, Macros, and advanced formulas, increasing reporting efficiency by 30% and improving KPI tracking accuracy for supplier delivery metrics by 20%.

• Built user-friendly dashboards in Power BI to track procurement lead times and warehouse operations, improving decision-making efficiency by 40% and providing real-time insights into KPIs like delivery performance and stock availability.

• Performed basic scenario analysis to evaluate impacts of inventory shortages, leading to 18% cost savings by improving procurement strategies.

• Implemented Kanban for real-time monitoring of procurement and logistics data, improving the identification of supply chain issues and enabling proactive decision-making based on KPI trends.

• Collaborated with teams across procurement and warehouse functions, achieving 22% improvement in operational efficiency by streamlining day- to-day processes.

• Spearheaded the creation of tailored SOPs, leading to 15% increase in operational efficiency and turning previously loss-making areas into 10% net profit gain.

• Identified and fixed operational bottlenecks, improving supply chain operations and enhancing overall resource planning.

• Rolled out MRP automation tools that streamlined purchase order creation and made inventory updates a breeze, ultimately reducing response times to shifting demand by around 15% and enhancing overall supply chain efficiency. Education

Master of Science, California State University Northridge Northridge, CA, USA Engineering Management 01/2023 – 12/2024

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