• Liaised with various teams to implement CLASS warehouse design and simulation software to increase transparency into the value gained from alterations to the warehouse layout and structure.• Supported the implementation of direct put away logic for stock-keeping units in the Distribution Centers (DCs) to increase efficiency, reduce inventory errors, and limit lost sale items for the company.• Worked on creating models using Machine Learning and Deep Learning to enhance the logistic department’s procedures regarding driver safety and accident reduction.

• Utilized various data mining techniques (i.e., tweet collection, feature extraction, geocoding, data preprocessing) to collect, clean, and process data needed for research.• Performed topic modeling on textual data (tweets) using Latent Dirichlet allocation (LDA) and Gibbs sampling method.• Used NRC Word-Emotion Association Lexicon for text sentiment analysis and created a visualization of results.• Prepared a write-up that includes a detailed explanation of related works, methods used, and results of the research.

• Held weekly meetings with the DC directors and floor managers to review performance, discuss shortcomings, and implement action plans to overcome any issues encountered during the week.• Produced various automated reports that provided insightful data to the operations management team to keep all departments accountable in the 7 DCs and 40+ Cross Docks.• Self-taught Autodesk Revit software and created 2D and 3D visualizations of space utilization in the 7 DCs.• Spearheaded an effort to optimize the storage area for awnings. Planned the remodel of the storage area by calculating the optimal storage compartments that could fit any size awning. Resulted in a 90% increase in awning capacity at the Spokane, WA DC and was used as a template for the other DCs.• Assisted with the implementation of a warehouse management system that fed directly into a cube logic and 3D slotting system that could handle 300,000 stock-keeping units of various sizes and weights. • Supported the implementation of direct put-away logic for stock-keeping units in the DCs to increase efficiency, reduce inventory errors, and limit lost sale items for the company.

• Coordinated with our samples supplier to restructure the delivery process. This resulted in better inventory turnover time and faster delivery time for the customer.• Filmed and edited a video dedicated to the announcement of a new product to the customers.• Participated in preparing the SEKISUI-SPI booth for the Aircraft interiors Expo 2019 (AIX 2019).

• Provided academic support in finance and economics courses through three weekly review sessions. • Utilized collaborative learning techniques to efficiently increase student learning of course material resulting in improvement of student performance.• All students exceeded their desired grade.

• Prepared complex financial models in Excel for upper management to analyze and foresee the financial needs of the organization.• Managed Accounts Payable: weekly transactions average $US 1 million. Also assisted the Accounts Receivable team, ensuring proper processing of payments due and payments to be received.• Charged with testing new financial and accounting software being developed for the company in NetSuite. Routinely offered feedback to improve system, ensuring it met operational needs.• Analyzed 30 different vendor contracts that were part of a newly acquired location to make sure it matched LSMNJ’s requirements.

• Participated in a research team that examined various methods to boost Moroccan economic growth through the African market.• Developed financial models to analyze the competitiveness of the Moroccan economy in comparison to its European and African counterparts.• Evaluated different import substitution strategies used in other countries and proposed a strategy that fits the Moroccan model to the policymakers.