Marwan Mohamed

Data Science and AI student with 2 years of hands-on experience turning raw datasets into decision-ready insights using Python, SQL, and Power BI. Completed a Data Analyst internship at the National Telecommunication Institute (99% evaluation score) and an 8-month Microsoft/DEPI Machine Learning Engineer program covering data pipelines and Azure. Built end-to-end analytics and ML projects, including an interactive retail Power BI dashboard and a comparative ML diagnostic tool.

AWS and NVIDIA certified.

AI & Data Science Trainee – Machine Learning Engineer Track at Digital Egypt Pioneers Initiative (DEPI) – Microsoft (2025-11 – Present)

• Completed an 8-month hands-on program applying Microsoft technologies to transform raw data from multiple pipelines into scalable, production-ready machine learning models.
• Built and deployed machine learning models using Microsoft tools; practiced cloud-based workflows on Microsoft Azure through profile labs.
• Developed algorithms to process data and identify patterns, applying AI concepts to real-world, scalable solutions.
• Contributed to DermaScan AI, a team dermatology diagnosis platform combining skin lesion segmentation/classification with a RAG-based chatbot (5-person team).

Data Analyst Intern at National Telecommunication Institute (NTI) (2025-06 – 2025-07)

• Cleaned and analyzed real-world datasets using Python (Pandas) and Excel, resolving data quality issues prior to analysis.
• Built interactive dashboards and reports to communicate KPIs and trends to non-technical stakeholders.
• Delivered analysis that supported data-driven decision-making, completing the program with a 99% evaluation score.

Machine Learning & AI Trainee at EXCPRINCE Initiative – Route Egypt (2025 – 2025)

• Completed a structured ML/AI training program covering supervised and unsupervised learning fundamentals.
• Applied data preprocessing, feature engineering, and model evaluation techniques to real-world datasets in Python.
• Gained hands-on exposure to practical, end-to-end ML workflows from raw data to trained model.

Bachelor in Data Science and Artificial Intelligence – Alexandria National University (2023-10 – 2027-10)