Mostafa Amer Email & Phone Number

Netherlands

• Data Modeling: Develop and implement data models using Python and PySpark to support supplychain management operations. This includes understanding the business needs, designing models tosupport decision-making, and maintaining the models to ensure they are up to date.• Dashboard Creation: Create interactive dashboards in Power BI and Tableau that provide insightsinto supply chain operations. This includes designing the layout, selecting the appropriatevisualizations, and ensuring the dashboards are user-friendly.• Advanced SQL Querying: Use advanced SQL for querying databases to extract, manipulate, andanalyze supply chain data. This includes writing complex queries, optimizing queries forperformance, and ensuring data integrity.• DAX Abilities: Utilize strong DAX abilities to create calculated columns, measures, and tables inPower BI. This includes understanding the business requirements, developing DAX formulas, andtesting the results for accuracy.• CI/CD Implementation: Implement Continuous Integration and Continuous Deployment (CI/CD)practices for the data models and dashboards. This includes setting up the CI/CD pipelines,monitoring the deployments, and troubleshooting any issues that arise.• Azure DevOps and Databricks Knowledge: Use Azure DevOps for project planning, code versioning,and automated testing. Use Databricks for big data analytics and machine learning tasks. Thisincludes setting up the environments, managing resources, and ensuring security best practices arefollowed.• Collaboration and Communication: Work closely with other teams in the organization, such as thesupply chain team, IT team, and management. This includes understanding their requirements,providing them with data insights, and explaining the data models and dashboards.• Continuous Learning: Stay updated with the latest trends and technologies in data analysis, datamodeling, and dashboard creation.

• Forecasting the required demand according to market Analysis.• Analyze the distributed demand statistically to take insights using Python, R• Handle database using SQL, Python, Tableau, DAX and Power BI• Extract data from the used system and structuring dashboards to visualize the data• Create Queries and Views Using SQL, Big Query, Data Studio• Build Financial Models to Obtain required data from System Database• Setting Weekly and monthly KPIs and analyze them Statistically.• Utilized Tableau for creating insightful reports and data visualizations.

• Analyzed sales and demand data to identify trends and make data-driven decisions.• Worked in-depth with supply chain management, logistics, and transportation to optimize operations.• Extracted and manipulated data from SAP for comprehensive analysis and reporting.• Collaborated with cross-functional teams to implement data-driven supply chain strategies.• Utilized advanced data analysis tools and techniques to drive efficient supply chain operations.

Alexandria Governorate, Egypt

I got to be a part of the logistics department, which consists of three divisions: Planning of raw materials and production, where I dealt with SAP and the on-going process of handling required quantities of raw materials and finished products. As well as dealing with invoices, shipments, storage and tracking of materials in both inbound and outbound divisions.

Alexandria Governorate, Egypt

I was a part of a team where I was responsible for collecting data in the factory as well as applying standards to find solutions for development , in addition to evaluate risks (operators & machines risks ) in the plant and working on solving them.

Logistics, Materials, And Supply Chain Management, Very Good

Bachelor'S Degree, Production & Industrial Engineering, Good

Big Data Strategies

Machine Learning With Python: From Linear Models To Deep Learning