• 📋 Check out My Resume at Resume

• 💬 Ask me about Machine Learning, Deep Learning, Data Science, Data Analytics

• 📫 How to reach me ahmedelsany12@gmail.com | +20 1008141749

• ⚡ Fun fact I'm passionate about learning new things

Bachelor's Degree in Computer Science
Zagazig University
GPA: 3.25 / 4.0
October 2021 - July 2025

• Python, C++

• Scikit-Learn, Numpy, Pandas, Matplotlib

• PyTorch, Tensorflow

• Proficient in breaking down complex problems and designing efficient, scalable solutions.

• Experience working in cross-functional teams.
• Strong collaboration and communication skills with both technical and non-technical stakeholders.

• Innovative thinker with a passion for exploring new technologies and solving real-world problems through AI and data science.

• Ability to manage multiple projects simultaneously, prioritizing tasks and meeting tight deadlines in fast-paced environments.

• Skilled at conveying technical insights to diverse audiences, making complex data accessible and actionable.
• Proficient in presenting data-driven findings clearly and persuasively.

• A mindset of continuous learning with an interest in staying updated with the latest trends in AI, machine learning, and data science.

Description:
A project for detecting traffic signs using computer vision and deep learning techniques to support autonomous vehicles.
Link to the project

Business Goal:
Improve the accuracy of autonomous driving systems.

Tools & Technologies:
Python, Deep Learning, Computer Vision

Description:
This project focuses on predicting natural hazards using machine learning techniques to analyze multiple data points and anticipate potential risks.
Link to the project

Business Goal:
Enhance preparedness for natural hazards and mitigate their impact.

Tools & Technologies:
Python, Machine Learning, Data Analytics

Description:
A project aimed at predicting potato leaf diseases using machine learning techniques to analyze images and classify diseases.
Link to the project

Business Goal:
Help farmers with early disease detection to improve crop yield.

Tools & Technologies:
Python, Machine Learning, Image Processing

Description:
This project performs customer segmentation using K-means clustering on mall customer data, helping businesses to identify target customer groups for personalized marketing strategies.
Link to the project

Business Goal:
Segment customers for targeted marketing efforts and improved customer engagement.

Tools & Technologies:
Python, K-means Clustering, Data Analytics