Ahmed Fouad Hashem
Data Analyst | Applied AI Specialist
Building machine learning solutions that drive decisions.
About
Data Analyst and Applied AI Specialist with 9+ months of intensive hands-on training at Digilians (Egyptian Military Academy). Experienced in building end-to-end Machine Learning pipelines, statistical modeling, and data visualization.
I am a Strong Logical & Analytical Thinker driven by a deep passion for data-driven problem solving.
I build analytical and machine learning work that is technically solid, tied to business context, and useful in real decision-making.
Highlights
Turn raw data into actionable insights and decisions.
Work across the full machine learning lifecycle from data collection to deployment.
Build practical solutions with Python, SQL, TensorFlow, and Power BI.
Focus on real-world problems where analytics meets business context.
My Journey
Digilians – Egyptian Military Academy
What I've built
End-to-end exploratory data analysis project on a UK-based B2B wholesale retail dataset — covering data cleaning, feature engineering, statistical analysis, market basket analysis, and business insight delivery.
Tech Stack
An offline-first, AI-powered data analytics platform that automates exploratory data analysis, generates interactive visualizations, and delivers LLM-powered business insights — all running locally with zero cloud dependency.
Tech Stack
End-to-end CNN-based image classification with architecture design, hyperparameter tuning, and transfer learning.
Tech Stack
Academic background
Delta University, Egypt
MIS
Credentials
A 13-course professional certificate covering the full AI engineering stack: building and fine-tuning deep learning models and neural networks with Keras, PyTorch, and TensorFlow; supervised and unsupervised machine learning with Python; and generative AI applications including GPT, LLaMA, and BERT. Completed hands-on projects in transfer learning, RAG, and LangChain-based AI agents.
Advanced ML algorithms, neural networks, decision trees, recommender systems, and reinforcement learning fundamentals.
Advanced statistical analysis, regression modeling, machine learning with Python, and executive-level data storytelling.
Comprehensive professional development in communication, teamwork, leadership, problem-solving, and workplace effectiveness.
Complete data analytics lifecycle: data collection, cleaning, analysis, visualization, and presentation using SQL, R, and Tableau.
What I work with
Predictive models, tuning, and evaluation workflows
Neural networks, architectures, and training pipelines
Data wrangling, querying, and exploration
Reporting, dashboards, and decision support
Platforms and daily delivery tooling
Communication, ownership, and teamwork
Let's connect
Have a project in mind or want to discuss data & AI opportunities? I'd love to hear from you.