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AI Engineer with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent graduate specializing in Artificial Intelligence and Data Science, skilled in Machine Learning, and data analysis. Experienced in building and deploying AI solutions using Python and modern AI tools. Proficient in building interactive dashboards using Excel and Power BI. Passionate about applying AI to solve real-world problems and seeking an entry-level role to contribute to impactful AI-driven projects.
Faculty of Computers and Informatics, Zagazig University
Bachelor of Computers and Information · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Virtual Fitting Room – Graduation Project
June 1, 2026 – Present
Built and deployed an AI-powered virtual try-on system using computer vision and diffusion models to simulate realistic clothing on 2D avatars. Integrated the solution as a Flask API for real-time outfit simulation.
Amazon Phone Market Analysis – Power BI
June 1, 2026 – Present
Designed and built an interactive, data-driven dashboard to analyze 300+ Amazon phone products, revealing key insights on price trends, brand performance, customer ratings, and discount impact on sales volume. Tools: Power BI, Power Query, DAX
Data Analysis for Professionals from A to Z
Udemy
December 1, 2025 – Present
Data Analysis Diploma
Amit Learning
October 1, 2025 – January 1, 2026
Artificial Intelligence Diploma
Array Training Center
February 1, 2024 – August 1, 2024
AI for Everyone (AI4E) - Trainee
Mahara-Tech. ITI-AI Academy
October 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a passion for applying AI to real-world problems, which aligns with an innovative and problem-solving culture. The diversity of projects (AI-powered virtual try-on, market analysis dashboard) indicates a broad interest within the AI/Data Science domain. However, without professional experience or more diverse project types, it's difficult to fully assess cultural fit beyond a foundational alignment with technical curiosity and application.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, team collaboration, time management, and analytical thinking as soft skills. While these are crucial, there is no direct evidence from the provided data (e.g., interview transcripts, peer reviews) to assess their proficiency. The project descriptions suggest an ability to work independently on defined tasks. Given the entry-level experience, operational fit would need to be assessed further during interviews.