Available for work

Ahmed Fouad Hashem

I turn data into real business impact.

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

Work Experience

Applied AI & Data Analytics Trainee

Digilians – Egyptian Military Academy

9 Months
  • Designed and deployed 10+ end-to-end ML pipelines, handling datasets up to 100K+ records, including preprocessing, feature engineering, and model evaluation.
  • Built and optimized 10+ predictive models (Random Forest, Logistic Regression, ANN), achieving up to 98% classification accuracy.
  • Improved model performance by 15–20% through hyperparameter tuning, cross-validation, and regularization techniques.
  • Reduced data preprocessing time by 30% by automating cleaning and transformation workflows using Python (Pandas & NumPy).
  • Conducted statistical analysis and hypothesis testing on real-world datasets, improving business decision accuracy by 25%.
  • Developed 10+ analytical reports and interactive dashboards using data visualization tools to support data-driven decision-making.

What I've built

Selected Work

Data Analysis

A curated selection of work from this category.

E
Data Analysis

E-commerce Full Project

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

Python
Pandas
NumPy
Matplotlib
Seaborn

ML & DL

A curated selection of work from this category.

C
ML & DL

Customer Segmentation Analysis

Unsupervised clustering to segment customers by behavior, enabling targeted marketing strategies.

Tech Stack

Python
Scikit-Learn
Pandas
Matplotlib
Seaborn
H
ML & DL

Heart Disease Risk Prediction

ML classification model for early heart disease detection using clinical and demographic indicators.

Tech Stack

Python
Scikit-Learn
Pandas
Matplotlib
A
ML & DL

AI Capstone Deep Learning Image Classification

End-to-end CNN-based image classification with architecture design, hyperparameter tuning, and transfer learning.

Tech Stack

Python
TensorFlow
Keras
NumPy
Matplotlib

Academic background

Education

Bachelor of Management Information Systems

2019 – 2023

Delta University, Egypt

MIS

Credentials

Certifications

Machine Learning Specialization

Stanford University & DeepLearning.AIFeb 2025

Advanced ML algorithms, neural networks, decision trees, recommender systems, and reinforcement learning fundamentals.

View Credential

Google Advanced Data Analytics Professional Certificate

GoogleJuly 2024

Advanced statistical analysis, regression modeling, machine learning with Python, and executive-level data storytelling.

View Credential

Google Data Analytics Professional Certificate

GoogleDec 2023

Complete data analytics lifecycle: data collection, cleaning, analysis, visualization, and presentation using SQL, R, and Tableau.

View Credential

Professional Soft Skills Learning Pathway

LinkedIn2024

Comprehensive professional development in communication, teamwork, leadership, problem-solving, and workplace effectiveness.

What I work with

Technical Skills

Machine Learning

Predictive models, tuning, and evaluation workflows

Unsupervised Learning
Classification
Regression
Clustering
Model Evaluation
Hyperparameter Tuning
Feature Engineering
CatBoost
Ensemble Methods
XGBoost
Supervised Learning

Deep Learning

Neural networks, architectures, and training pipelines

TensorFlow
Model Architecture Design
Dropout Regularization
Batch Normalization
PyTorch
Keras
Convolutional Neural Networks (CNN)
Artificial Neural Networks (ANN)

Data Analysis

Data wrangling, querying, and exploration

Data Cleaning
Statistical Analysis
Data Preprocessing
Scikit-Learn
NumPy
Pandas
SQL
Python
Predictive Analytics

Business Intelligence

Reporting, dashboards, and decision support

Power BI
Tableau
Matplotlib
Seaborn
Plotly
Interactive Dashboards
Data Storytelling

Tools

Platforms and daily delivery tooling

Excel
VS Code
Kaggle
Git & GitHub
Google Colab
Jupyter Notebook

Professional Skills

Communication, ownership, and teamwork

Discipline
Adaptability
Communication
Team Collaboration
Leadership
Problem Solving
Analytical Thinking

Let's connect

Get In Touch

Have a project in mind or want to discuss data & AI opportunities? I'd love to hear from you.

Contact Information