Ahmed Fouad Hashem
Data Scientist & Applied AI Engineer
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
A deep-learning surveillance analytics system that classifies CCTV footage as Normal, Violence, or Weaponized using a ResNet18 + LSTM architecture, localises when each incident occurs on a timeline, and generates an explainable downloadable review report.
Tech Stack
An evidence-grounded customer support assistant built on a hybrid RAG pipeline — combining BGE dense retrieval, BM25, Reciprocal Rank Fusion, and Cross-Encoder reranking, with calibrated abstention and source citations.
Tech Stack
Academic background
Delta University, Egypt
MIS
Credentials
Microsoft's associate-level certification (exam PL-300) validating the ability to prepare, model, visualise, and analyse data with Power BI. Covers data cleaning and transformation with Power Query, semantic modelling and DAX calculations, report and dashboard design, and the deployment and maintenance of Power BI assets. Earned 4 July 2026, valid through 5 July 2027.
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
Turning raw data into questions worth answering
Turning analysis into dashboards people actually use
Predictive models, tuning, and evaluation workflows
Neural networks, architectures, and training pipelines
Retrieval-augmented systems, prompting, and LLM application engineering
Language and audio models for text, speech, and Arabic data
Image and video understanding, detection, and temporal modelling
Communication, ownership, and teamwork
The environments where the work actually gets built
Let's connect
Have a project in mind or want to discuss data & AI opportunities? I'd love to hear from you.