Mohammed Radman AL-Matari

📊 Data Scientist | 💻 Data Analyst | 🛡️ AI Security Enthusiast

I’m a data-driven professional with hands-on experience in Data Science, Machine Learning, Deep Learning, IT auditing, and quality management. My work blends practical industry expertise with research in data science, ML pipelines, federated learning, and NLP.

About Me

Mohammed Radman AL-Matari

I specialize in building and securing intelligent systems—covering data pipelines, model training, and deployment. I enjoy turning complex requirements into clean, reliable solutions and documenting them so teams can operate confidently.

Education

Summer School, GeoTraining — Universität Osnabrück, Germany (Aug–Sep 2025)

Focus: Data Analysis and Machine Learning with R

MSc, Data Science — Jordan University of Science & Technology (2023–2025)

Thesis: Securing ML Pipelines (Data Poisoning & Model Inversion in Federated Learning)

BEng, Electrical (Computers & Control) — Sana’a University (2017–2021)

Data Science Data Engineering Federated Learning NLP Optimization Secure ML

Certifications

Certified Data Management Professional (CDMP) — DAMA
Deep Learning Specialization — DeepLearning.AI
Machine Learning Specialization — DeepLearning.AI
ITIL 4 Fundamentals — Alison

Professional Experience

Oct 2023 – Present

Data Scientist/AI Engineer

Freelance

Providing data analytics related services including cleansing, preprocessing, model development and implementation, dashboards development, documentation.

• Delivered end-to-end data science solutions, including data cleaning, exploratory data analysis (EDA), feature engineering, and predictive modeling. • Built and evaluated machine learning models for classification, regression, and anomaly detection using Python, Pandas, NumPy, Scikit-learn, and PyTorch. • Developed data-driven insights and dashboards to support business decision-making. • Collaborated with clients to translate business problems into analytical and ML solutions. • Ensured data quality, model reliability, and clear documentation for non-technical stakeholders.
Dec 2022 – Sep 2023

Quality Internal Auditor – IT

TeleYemen – Yemeni International Telecom Co.

Audited and improved ISO-aligned QMS processes; led on-site audits, issued reports, and tracked corrective actions across technical and non-technical teams.

• Automated analysis workflows and data extraction for data-driven decision-making process. • Built Power BI dashboards for different departments’ performance forecasting and evaluation. • Ensured the adequate and effective processes for technical/non-technical, procedures, and policies for Quality Management System (QMS) are developed, implemented, and documented, in the relevant operations. • Improved processes and their outputs through performing periodically on site audits, report findings, follow-up action plans and addressing progress for technical and non-technical departments (managing QMS).
Sep 2022 – Sep 2023

Teaching Assistant

Sana’a University

Led tutorials/labs, enforced lab safety, and taught undergrad courses (Python, Electrical Circuits).

• Conducted tutorials and laboratory sessions on Python programming, data analysis, and applied machine learning. • Supervised students in implementing AI projects, including model training, evaluation, and deployment. • Demonstrated the use of ML frameworks (TensorFlow, PyTorch) and essential data-science libraries (NumPy, Pandas, Scikit-learn). • Guided students through AI experimentation, feature extraction, and visualization techniques.
Jan 2022 – Jul 2022

IT Auditor

Hajar & Co. Certified Accountants

Conducted IT audits, managed web maintenance, and handled IT admin tasks (backups, device upkeep).

• Hardened systems and improved backup reliability • Modernized small web properties for the firm

Technical Skills

Languages & Tools

Python Java HTML/CSS/JS SQL PL/SQL Git/GitHub Power BI

AI & Data Science

Data Analytics Data Visualization Machine Learning Statical Analysis Deep Learning

ML / NLP Stack

PyTorch TensorFlow scikit-learn Hugging Face Pandas NumPy

Featured Projects

FedDefend — Federated Learning Security Framework

Master Thesis

Detection & mitigation for data poisoning and model inversion in FL pipelines with trust scoring and privacy mechanisms.

PyTorch Differential Privacy Secure Aggregation

Adaptive Random Neural Architecture Search

DL

NAS via adaptive random search to optimize architectures efficiently.

PyTorch Keras NumPy

Arabic Entity-Aware Prompting MRC

NLP

Improves Arabic reading comprehension with entity-aware prompting strategies.

Hugging Face PyTorch MRC

Arabic Joint Intent Classification & Slot Filling

NLP

Transformer-based joint model for task-oriented dialogue.

Transformers PyTorch

Rating Prediction with Sentiment Analysis

ML

Predicts numerical ratings from text reviews using classical ML + NLP features.

scikit-learn NLTK Pandas

Get In Touch

🚀 I’m open to roles and collaborations in Data Science, Analytics, & AI—let’s connect !!!