ADIB EL MODAFAR

- Design and implement decision-making tools for store managers. - Develop tools to optimize stock management, layouts, and in-store sales. - Conduct data analyses to identify strategic levers such as cross-selling and checkout TGs to boost revenue. - Transform data insights into concrete and impactful actions ("turn data into action"). - Manage innovative projects to enhance performance and introduce new solutions. - Introduce organizational frameworks and establish best practices for dashboards and models, bringing structure and efficiency to the team.

- Led the end-to-end development of innovative augmented beauty devices, from ideation and prototyping to software/hardware creation, testing, and delivery. - Managed comprehensive project workflows using tools like Jira, Trello, and ClickUp, ensuring seamless execution. - Conducted in-depth data analysis and visualized business insights using Tableau and Power BI. - Oversaw risk management and ensured optimal user experience in product development. - Specialized in data management to drive informed decision-making and enhance project outcomes.

- Co-founded NotYett, a digital platform enabling students to find quality housing with personalized procedures and post-rental support. - Drove the entire entrepreneurial process, from ideation and prototyping to developing the app and website using React Native. - Managed end-to-end business operations including prospecting, data analysis, and market strategy. - Spearheaded the design and implementation of a user-centric platform, ensuring an intuitive and seamless rental experience. - Leveraged data insights to continually optimize platform performance and user satisfaction. - Demonstrated strong leadership and adaptability in a startup environment, handling diverse challenges and driving the project to fruition.

- Led a team of 15 in the creation of a 100% digital production facility, integrating robots, conveyors, shuttles, and advanced automation technologies. - Managed all project aspects, including task delegation, ensuring seamless collaboration and efficient execution. - Oversaw the development of a flexible cell capable of producing three types of parts, featuring four robots, a mono conveyor with shuttles, RFID tags for communication, loading/unloading stations, vision systems, and manual workstations. - Enhanced leadership and management skills through deep learning and hands-on experience in a cutting-edge industrial project. - Ensured project adherence to specifications and optimized processes for maximum productivity and quality. - Demonstrated strong strategic planning, problem-solving abilities, and the capacity to drive innovation in manufacturing.

- Collaborated with the Métropole of Lille and Lamih to develop a predictive model for parking spot availability at Lille Flandres. - Automated data collection through web scraping and prepared, modeled, and analyzed data using Python. - Developed prediction algorithms using Recurrent Neural Networks (RNN) and Random Forest models. - Implemented backend development and predictive models for a smart parking solution applied to all Hauts-de-France parking facilities. - Operated in an agile environment, utilizing Scrum methodology for efficient project management and iterative development. - Contributed to the creation of an intelligent system to enhance urban mobility and parking efficiency. - Demonstrated expertise in data science, machine learning, and backend development, driving innovation in smart city solutions.