Yomna Hadad
Junior Data Scientist and AI Engineer
A Junior Data Scientist and AI Student with a strong foundation in machine learning, computer vision, and generative AI, eager to solve complex real-world challenges.
About
Junior Data Scientist and AI Student with a strong foundation in machine learning, computer vision, and generative AI. Proven ability to develop and implement AI solutions, demonstrated through projects with hands-on experience in data analysis and machine learning. Eager to apply technical expertise to solve complex real-world challenges.
Experience
Microsoft Machine Learning Engineer Trainee
Digital Egypt Pioneers Initiative - DEPI
Learning Microsoft Technologies to translate the raw data into data science models that can be applied and scaled, develop algorithms and build programs that enable computers to process incoming data and identify patterns
- Learned Microsoft Technologies for data science model development
- Developed algorithms and programs for data processing and pattern identification
Data Analytics for Machine Learning - Summer Training (120h)
National Telecommunication Institute - NTI
- Completed 120-hour summer training in Data Analytics for Machine Learning
Deep Learning for Computer Vision - Upskilling Programs (72h)
National Telecommunication Institute - NTI
Practice CV and pattern recognition concepts and methodologies. Develop different appreciations for various issues in the design of computer vision and object recognition systems based on deep learning techniques.
- Practiced Computer Vision and pattern recognition concepts
- Developed understanding of deep learning techniques for computer vision and object recognition systems
NVIDIA Generative AI Program
Information Technology Institute - ITI
Completed Beginner and Advanced levels of Generative AI training offered by ITI in cooperation with NVIDIA, gaining foundational and advanced knowledge in AI model development.
- Completed Beginner and Advanced levels of NVIDIA Generative AI training
- Gained foundational and advanced knowledge in AI model development
Skills
Programming Languages
Libraries & Frameworks
Databases
AI/ML Concepts
Tools
Competitive Programming
Projects
CountryDataHub, CS50-SQL Graduation Project
Built the CountryDataHub database, integrating comprehensive data on populous cities, country economics, population statistics, and languages spoken, serving as a graduation project for CS50-SQL.
Mini-RAG Smart-Contract-Summary-Q-A-Assistant
End-to-end Retrieval-Augmented Generation (RAG) web application system allows users to upload long documents (contracts, insurance policies, reports) and interact with them via a conversational assistant. Users upload PDF/DOCX, the system extracts, chunks, and embeds content, stores it in a vector store, and enables chat-based question answering with guard-rails and source citations.
Image Caption Generation - Retinal Disease
Developed a deep learning model using Keras, LSTM, and ResNet50 for automatic image caption generation on retinal fundus images, aiming to assist in clinical diagnosis by providing natural language descriptions of eye diseases.
Bookstore - Graduation Project
Education
University of Kafr El Sheikh
Bachelor's Degree (3rd Grade) — Artificial Intelligence
Certifications
CS50 Python
Harvard · 2024
CS50 SQL
Harvard · 2025
Machine Learning Specialization
Stanford - DeepLearning.AI
24 Concluded Courses of AI and DS track
Data Camp
Machine Learning with Python
365DataScience
Deep Learning with TensorFlow
365DataScience
Introduction to Data and Data Science
365DataScience
Introduction to Algorithms
365DataScience
Statistics
365DataScience
Mathematics
365DataScience
Supervised Machine Learning
IBM
Exploratory Data Analysis for ML
IBM
