Mohamed Amine El Abidi

Mohamed Amine El Abidi is a data-driven problem solver with expertise in data science, analytics, and machine learning. With a solid foundation in both business intelligence and predictive modeling, he has delivered impactful solutions across various domains including fintech, fitness, and digital marketing.

He has worked on real-world analytics projects such as a football formation prediction platform and financial dashboards for transparency initiatives. During his remote internship at Explore AI Academy, he enhanced machine learning model performance, built interactive Power BI dashboards, and streamlined data preprocessing pipelines. At Epineon, he developed a recommendation system for a fitness app using Python and TensorFlow.

Mohamed Amine also brings experience in cloud services, automation, and web development. His diverse technical background includes building real-time dashboards, integrating AI-driven automation tools, and deploying APIs with frameworks like Flask and Django.

He holds a degree in Data Engineering from ENSAH and has been actively involved in leadership roles—founding RapidFlow AI Agency and serving as an ambassador for ALX Morocco—where he helped expand AI education and community engagement.

Technical Skills: Python, SQL, JavaScript, TensorFlow, Scikit-Learn, Pandas, NumPy, Power BI, Looker, Google BigQuery, Flask, Django, Docker, AWS, Google Cloud, Terraform
Languages: Arabic (Native), French (Fluent), English (Fluent)