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Data Science · AI · Business Intelligence

Turning Data Into Actionable Insights

Data Science graduate building ML models, dashboards, and AI systems that help organizations make smarter decisions.

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DATA SCIENCE ✦ DATA ANALYSIS ✦ MACHINE LEARNING ✦ ARTIFICIAL INTELLIGENCE ✦ DATA SCIENCE ✦ DATA ANALYSIS ✦ MACHINE LEARNING ✦ ARTIFICIAL INTELLIGENCE ✦
DataHub — Muath Shaat

Muath Shaat

DataHub · Dive into data

SEU
Data Science B.Sc.
About Me

I'm Muath, a Data Scientist

Data Science graduate with solid foundations in data analysis, machine learning, artificial intelligence, and business intelligence. Experienced in data cleaning, exploratory data analysis, model development, and dashboard development using Python, SQL, Excel, and Power BI to transform raw data into actionable insights.

Based in Riyadh, Saudi Arabia. Interested in applying AI and data-driven methods to solve real-world problems — from medical imaging to credit risk and business analytics.

Arabic English Open to opportunities
6+
Public Projects
15+
Technologies & Tools
6+
Certifications
Technical Skills

Tools I Use to Ship Insights

Python (Pandas, NumPy, Matplotlib, scikit-learn) SQL & Data Preprocessing Power BI & Power Query Machine Learning (Regression, Classification) Deep Learning & Computer Vision Excel & Data Visualization

ML & AI

Regression, Classification, Model Evaluation, EfficientNet, Grad-CAM, LLMs

Data Analysis

Cleaning, Preprocessing, EDA, Statistical Analysis, Feature Engineering

Business Intelligence

Power BI dashboards, KPI storytelling, Power Query automation

Soft Skills

Problem Solving, Communication, Teamwork, Presentation, Decision Making

What I Do

Expertise & Focus Areas

Data Analysis & EDA

Cleaning, preprocessing, exploratory analysis, and statistical methods to uncover patterns and drive decisions.

Python SQL Pandas

Machine Learning

Supervised models for classification and regression, evaluation metrics, and feature-importance analysis.

scikit-learn NumPy Colab

Computer Vision & Deep Learning

Medical imaging pipelines with EfficientNet, Grad-CAM explainability, and LLM-assisted reporting.

EfficientNetV2 Grad-CAM XAI

Power BI Dashboards

Interactive reports and KPI dashboards that turn operational data into clear business narratives.

Power BI Power Query Excel

Generative AI & LLMs

Integrating LLM assistants for contextual explanations and automated structured report generation.

LLMs GenAI Automation

Reporting Automation

Streamlining data reporting workflows with Excel, Power Query, and Python for faster delivery.

Excel Power Query Python
Career

Experience & Education

Cooperative Training

Alhaya Medical Company

Riyadh, Saudi Arabia

Jun 2025 – Aug 2025
  • ▹ Performed data cleaning, preprocessing, and organization using Excel, SQL, and Python
  • ▹ Built interactive dashboards and reports with Power BI to support business decision-making
  • ▹ Conducted EDA and applied basic statistical methods to extract insights
  • ▹ Automated data reporting workflows using Excel and Power Query
  • ▹ Presented insights through data visualization and storytelling to stakeholders
Education

Bachelor of Data Science

Saudi Electronic University · Riyadh

2022 – 2026

Core focus on data analysis, machine learning, AI, statistics, and business intelligence — applying coursework to real projects in healthcare, finance, and analytics.

Volunteering

E-Learning System Evaluation

Evaluation and testing of an e-learning system — contributing quality feedback and usability insights.

Portfolio

Selected Projects

Featured work from my CV and GitHub

01
DEEP LEARNING · MEDICAL AI

LungAI

Intelligent chest X-ray diagnosis — Normal, Lung Opacity, Viral Pneumonia. EfficientNetV2-S with 95.41% test accuracy, Grad-CAM explainability, and an LLM medical assistant.

EfficientNetV2-S Grad-CAM LLM Reports 95.41% Acc
2nd Place · EnviroThon 02
AI · SUSTAINABILITY · HACKATHON

EcoScale

AI-driven solution designed to optimize data center sustainability. Built for the EnviroThon Hackathon organized by the Environment Fund — secured 2nd place (May 2026).

AI Data Centers Sustainability Environment Fund
03
SUPERVISED ML

Loan Default Prediction

Credit-risk classification using income, credit score, debt ratio, employment, and delinquency history. Model comparison and feature-importance analysis on Google Colab.

scikit-learn Pandas Colab GitHub
04
BUSINESS INTELLIGENCE

Adidas Sales Performance

Interactive Excel dashboard for sales trends, regional performance, and product metrics — Pivot Tables, Slicers, and KPI cards for real-time filtering.

Excel Pivot Tables KPIs GitHub

Football Analysis

Sports analytics · Python / CV

AI Academic

Academic assistance · TypeScript

AI News Letter

Newsletter pipeline · Python

Qafza's Hackathon

Hackathon repository
Highlights

Rewards & Achievements

2nd Place May 2026

2nd Place Winner | EnviroThon Hackathon

Issued by Environment Fund

Secured 2nd place at the EnviroThon hackathon, organized by the Environment Fund. Developed "EcoScale", an AI-driven solution designed to optimize data center sustainability.

2nd
PLACE
Academic Honor

Graduating from University with Honors

Bachelor of Data Science — Saudi Electronic University, Riyadh. Completing the program with academic honors.

Credentials

Certifications & Learning

AWS AI Practitioner Challenge

Udacity

Ethical Hacker

Cisco

Data Analysis with Python

IBM

AI Foundations Associate

Oracle

Introduction to Data Visualization

Simplilearn

Data Fundamentals

IBM SkillsBuild

Get In Touch

Let's Build with Data

Looking for a data science intern, analyst, or collaborator on AI/ML projects? Reach out — I'd love to connect.

Phone
055 039 6126
Location
Riyadh, Saudi Arabia