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Usf132/README.md
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About Me..

youssef = {
    "role": "AI & Software Engineer",
    "focus": [
        "Machine Learning",
        "Data Engineering",
        "Backend Engineering",
        "Product Development"
    ],
    "rank": "Top 1% — 5th of 465 @ CS (AI)",
    "currently": "Microsoft Data Engineering Trainee @ DEPI",
    "mindset": "Ship fast. Own it end-to-end. Translate complexity into clarity.",
}

Multidisciplinary builder who moves with urgency, turning raw datasets into scalable products that solve real-world problems.


Experience & Leadership

Microsoft Data Engineering Trainee

Digital Egypt Pioneers Initiative (DEPI) · Internship
Jul 2026 – Present · Egypt (Hybrid)

Selected for Round 5 of the Digital Egypt Pioneers Initiative (DEPI), a competitive government-sponsored six-month program by Egypt's Ministry of Communications and Information Technology (MCIT), delivered in partnership with Microsoft and CLS Learning Solutions.

  • Building end-to-end data engineering solutions using Python, SQL, and Microsoft Azure.
  • Designing and orchestrating scalable data pipelines for modern cloud-based data platforms.
  • Developing expertise in big data processing, data architecture, and AI-assisted data workflows.
  • Preparing for the Microsoft Certified: Azure Data Engineer Associate (DP-203) certification.
  • Collaborating on hands-on projects, technical labs, and a capstone project under industry mentorship.

McKinsey Forward Program Participant

McKinsey & Company · Apprenticeship
Mar 2026 – Jun 2026 · Remote

Completed a selective four-month professional development program designed for high-potential early-career professionals.

  • Applied structured problem-solving frameworks to real-world business cases.
  • Produced executive-style written and verbal recommendations under fixed deadlines.
  • Strengthened strategic thinking, communication, and analytical decision-making skills.
  • Collaborated within a global peer cohort while developing future-of-work competencies.

Software Engineering Trainee

Fuzetek · Internship
Feb 2026 – May 2026 · Remote

Completed an industry-oriented Software Engineering program covering the complete Software Development Life Cycle (SDLC), from requirements engineering to testing and deployment.

  • Participated in full Agile/Scrum development cycles including sprint planning, stand-ups, reviews, and retrospectives.
  • Designed normalized PostgreSQL databases and optimized complex SQL queries using JOINs, aggregations, and relational modeling.
  • Applied Git and GitHub workflows for collaborative software development and version control.
  • Built Python-based solutions for data transformation, automation, and business reporting.
  • Strengthened software engineering fundamentals through algorithmic problem solving, data structures, recursion, and complexity analysis.

Freelancing Intern

ITIDA Gigs · Internship
Dec 2025 – Feb 2026 · Egypt (Hybrid)

Completed a structured freelancing program organized by Egypt's Information Technology Industry Development Agency (ITIDA), focused on delivering real client projects.

  • Reduced reporting turnaround time from approximately 2 days to under 4 hours by automating spreadsheet-based workflows with Python.
  • Delivered end-to-end analytics solutions across 10+ client engagements, including requirement gathering, data preparation, analysis, and reporting.
  • Built reusable preprocessing pipelines that significantly reduced manual effort and improved reporting consistency.
  • Managed multiple concurrent projects while consistently meeting client deadlines.

Highlights

  • 🚀 DEPI × Microsoft — Selected for Round 5 of the Digital Egypt Pioneers Initiative (DEPI), a highly competitive government-sponsored program delivered by MCIT, Microsoft, and CLS Learning Solutions, specializing in Data Engineering on Microsoft Azure.

  • 🧭 Fuzetek — Completed an end-to-end Software Engineering program covering the full SDLC, Agile/Scrum, PostgreSQL, Git, and Python while collaborating on production-oriented software projects.

  • 🔷 McKinsey Forward — Successfully completed McKinsey's global professional development program, strengthening structured problem-solving, strategic thinking, executive communication, and future-of-work skills.

  • 📊 ITIDA Gigs — Automated client reporting workflows with Python, reducing turnaround time from ~2 days to under 4 hours while delivering analytics solutions across 10+ client engagements.


Skills

🤖 AI & Machine Learning

Python Machine Learning Deep Learning TensorFlow Scikit-Learn NumPy Pandas


📊 Data Engineering & Analytics

SQL SQL Server PostgreSQL MySQL Google BigQuery Data Pipelines Feature Engineering Power BI Tableau Advanced Excel


☁️ Cloud & Development

Microsoft Azure AWS Git GitHub Docker REST API


💻 Software Engineering

C++ C# OOP Data Structures SDLC System Design


🚀 Product & Professional Skills

Agile Scrum Jira Project Management Stakeholder Management Problem Solving Critical Thinking Communication Leadership

Github Stats


Certifications

Certificate Issuer
🧠 Machine Learning Specialization Stanford University & DeepLearning.AI
☁️ Microsoft Data Engineering Trainee (DEPI) (In Progress) MCIT × Microsoft × CLS Learning Solutions
💼 McKinsey Forward Program McKinsey & Company
🐍 Python 3 Programming Specialization University of Michigan
📊 Google Data Analytics Professional Certificate Google
🤖 AWS AI & ML Scholars Challenge Udacity
☁️ AWS AI Practitioner Challenge Udacity
💡 Enterprise Design Thinking Practitioner IBM
🤖 Make Agentic AI Work for You IBM
💻 Winter Software Engineering Program Fuzetek
🚀 ITIDA Gigs – Freelance Training Program ITIDA
🎨 Adobe Certified Professional – Photoshop Adobe (Certiport)

My Social Media...


📬 Let's connect and build something impactful.




Random Dev Quote


Thanks for visiting me

Pinned Loading

  1. Hospital-Management-System Hospital-Management-System Public

    C++

  2. Data-Structures-Algorithms Data-Structures-Algorithms Public

    C#

  3. diabetes-risk-checker diabetes-risk-checker Public

    Streamlit app + Keras model estimating diabetes risk from health inputs.

    Jupyter Notebook

  4. dog-cat-cnn-classification-tl dog-cat-cnn-classification-tl Public

    Cat vs Dog image classifier using transfer learning (MobileNetV2) with a Streamlit app for interactive predictions. ~99.3% test accuracy.

    Jupyter Notebook

  5. Fruit-Images-for-Object-Detection Fruit-Images-for-Object-Detection Public

    YOLO11n-based two-stage computer vision system for fruit and vegetable detection and classification.

    Jupyter Notebook

  6. Kaggle-Projects Kaggle-Projects Public

    End-to-end machine learning solutions for classic Kaggle competitions, featuring data preprocessing, feature engineering, model training, hyperparameter tuning, evaluation, and Kaggle-ready submiss…

    Jupyter Notebook