Hello, I'm Yousef Mohtady

Junior Data Scientist

Transforming raw data into actionable insights and building innovative AI-powered solutions.

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Yousef Mohtady

About Me

Bridging Mathematical Theory with Practical AI.

I am a Junior Data Scientist with a rigorous academic background in Mathematics and Computer Science. My approach to data goes beyond code; I apply mathematical principles to solve complex analytical problems. This foundation was strengthened by the intensive Digital Egypt Pioneers Initiative (DEPI) training.

In the practical field, I specialize in Machine Learning and Generative AI. I served as the AI Team Leader for "Qanouny", where I architected a production-ready RAG-based legal assistant, managing multi-modal pipelines and leading cross-functional collaboration.

I am proficient in the Python ecosystem and experienced in transforming raw data into clear, actionable business insights. I am eager to apply my skills to build innovative data solutions that drive strategic decision-making.

Education

B.Sc. in Mathematics and Computer Science

2021 – 2025

Faculty of Science, Helwan University

  • Graduated with a grade of 70.61% (Good), equivalent to GPA ~2.82/4.0
  • Major: in Mathematics and Computer Science
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Training

AI and Data Science Training

Digital Egypt Pioneers Initiative (DEPI)

  • Mastered the Data Science lifecycle, performing rigorous EDA and building optimized Machine Learning models using Pandas, NumPy, and Scikit-learn.
  • Implemented advanced Generative AI solutions, developing RAG pipelines and integrating Large Language Models (LLMs) using Hugging Face libraries.
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Full-Stack Web Development

Information Technology Institute (ITI)

  • Developed responsive web applications using PHP and Laravel, gaining hands-on experience with MVC architecture and collaborative development workflows.
  • Designed and managed relational databases using MySQL, ensuring efficient data integration and normalization for scalable web solutions.
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Skills

Technical Skills

Python SQL HTML5 CSS3 Machine Learning Pandas Numpy Scikit-learn Seaborn Matplotlib Plotly Dash MLflow BeautifulSoup MySQL Database Design Normalization Git GitHub Object-Oriented Programming (OOP) Algorithms & Data Structures Agile Methodology Waterfall Model

Soft Skills

Problem Solving Quick and Self Learning Teamwork and Collaboration Time Management Adaptability Communication Leadership

Featured Projects

Qanouny AI-Powered Legal Assistant

(DEPI Pioneer Graduation Project)

AI Team Leader

  • Led the AI team and collaborated cross-functionally with Data Engineering and Flutter teams to design and deliver a production-ready RAG-based legal AI system.
  • Architected an end-to-end multi-modal AI pipeline (text, audio, image, PDF), integrating OCR, speech-to-text, embeddings, and LLM reasoning into a unified backend.
  • Designed and implemented a vector-based legal retrieval layer in coordination with the Data Engineering team, ensuring scalable, source-grounded, and auditable legal responses.
  • Worked closely with the Flutter team to align AI outputs with user experience requirements, including risk indicators (Red/Amber/Green), simplified legal language, and explainable responses.
RAG OCR Speech-to-text Embeddings LLM Reasoning Groq API FastAPI
Live Demo

CorpGuideAI - Intelligent HR Policy Assistant

  • Developed a production-ready RAG application to automate HR inquiries, utilizing LangChain and Llama 4 (via Groq) to achieve sub-2-second inference latency.
  • Implemented Semantic Chunking to optimize vector retrieval accuracy for bilingual policy documents, significantly outperforming traditional fixed-size chunking methods.
  • Engineered a robust microservices architecture by decoupling the FastAPI backend (Dockerized on Hugging Face) from the frontend (Vercel), featuring a self-healing database mechanism for error resilience.
LangChain FastAPI RAG Groq API Semantic Chunking Hugging Face Vercal
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Get In Touch

Feel free to reach out for collaborations or just a friendly hello