Zakariae EL IDRISSI

– Lead end-to-end planning and execution of IT omnichannel projects, ensuring alignment with business objectives, timelines, and budget constraints. – Collaborate with cross-functional teams and stakeholders to gather requirements and provide regular updates on project progress. – Identify and implement continuous improvement initiatives to optimize IT project delivery, enhancing overall efficiency and effectiveness. – Tools: Manhattan Active Omni, Postman, Apache Kafka, Slack, Jira, Confluence.

– Manhattan Active Omni Solution - IT Retail Sector - Software implementation - OMS/POS – Planning and Project Management: I am responsible for overseeing the implementation process from start to finish. This includes creating project plans, identifying project risks and ensuring that the project is completed on time and within budget. – Configuration and Customization: I configure and customize the software to meet the specific needs of the client. This involves working closely with the client to understand their requirements and then configuring the software accordingly. – Training and Support: I am also responsible for training the client on how to use the software and providing ongoing support to ensure that the software is being used effectively. This may involve creating user manuals, conducting training sessions, and providing ongoing technical support. – Main clients: Christian Louboutin, Kering, Lacoste, The Kooples, SMCP Group, Diesel, L'Occitane Group. – Developed Skills: Manhattan Active Omni, SCI IBM Cognos, REST APIs, Postman, SQL, GCP PubSub.

– Supply Chain Analyst: Lean Digital Transformation, Sales & Operations, Supply Chain Optimization. – Collect, analyze Data for Microsoft Dynamics 365 ERP implementation. – Supply Chain optimization by 60% & Sales prediction improvement by 96% using Machine learning. – Development of new Sales & Operations, Demand Planning, tools and creating tutorials for users. Developed Skills: Excel VBA, SQL, Power BI, AX365, Microsoft ERP Dynamics 365, Microsoft Azure.

– Data Analyst Consultant: Strategic Data Analysis & Engine Systems Improvement. – Engineers and technicians report (7500 Reports) Data analysis using Python & SQL. – Fault detection (95 Systems), R&D on mechanical & electronic defected systems. – Data Visualization using Power BI, and decision making in accordance with terms of reference. – Resulted in 16% performance improvement and an estimated € 12k/year cost reduction. Developed Developed Skills: Python, Excel VBA, SQL, Data Visualization Power BI.