Ahmed S.

USP:

Aspiring and Professional Data Scientist who changes raw Data to Actionable Insights that solve real-world problems with High Quality and on Time. offer 24/7 availability for seamless collaboration, and bring excellent communication, problem-solving, and presentation skills to ensure projects are completed with exceptional accuracy and efficiency, driving real-world impact for your goals.

About Me:

Highly motivated fresh graduate Data Scientist with 5+ years of academic experience.

Graduated from the Faculty of Computing and Data Science at Alexandria University, where I earned my Bachelor’s degree with an Excellent grade and CGPA: 3.52.

My expertise lies at the intersection of data science, machine learning, and cloud deployment, with practical experience gained through academic projects, research, and hands-on real-world problems.

I am a dedicated, fast-learning individual with a strong desire to contribute to impactful projects in data

science, analytics, and emerging technologies.

Experience:

Microsoft Machine Learning Engineer | June 2025 – Present

Digital Egypt Pioneers Initiative – DEPI Internship

Developing end-to-end machine learning and AI pipelines through final graduation project cover main and advanced topics like:

Math (Statistics and Linear Algebra Basics)

Python Programming

Python for Data Science, AI & Development

Preprocessing & Visualization

Machine Learning Techniques

Deep Learning

Natural Language Processing with Attention Models

Computer Vision and Transfer Learning

Azure AI Fundamentals

MLOps Tools, MLflow, and Hugging Face

Azure AI Engineer Associate

Cloud Computing Internship | October 2024 – January 2025

Smart Village

Configured scalable AWS EC2 infrastructure, automating virtual machine setup to streamline deployment and boost team productivity.

Implemented load balancing and fault tolerance with AWS Elastic Load Balancer and Auto Scaling,enhancing system reliability.

Gained hands-on experience with AWS, Azure, and Google Cloud, focusing on cloud architecture, storage, and big data tools.

Presented a research paper on the SLRTA algorithm, analyzing its impact on response time and energy efficiency in cloud task offloading.

Awards & Certifications

Google Advanced Data Analytics — Coursera | November 2024

Web Scraping with Python — DataCamp | April 2025

SQL Fundamentals — DataCamp | April 2025

Machine Learning and Deep Learning — Udemy | February 2025

Applied Data Science Lab — WorldQuant University | January 2025

ICDL — Arab Academy | March 2022

Data Analytics Using Excel — Udacity | June 2022

Associate Data Scientist - DataCamp | July 2025