The Journey
Portfolio · Vol. 01
Ahmed Abu Al-Maati
Traveller

Ahmed Abu Al-Maati

Machine Learning Engineer

Ambitious AI Engineer building data‑driven ML solutions with Python, SQL, and Azure.

Issued
5+ years in
Based in
Al Mansurah, Egypt
Stops
11
Span
7 yrs
Carrying with me
Machine LearningRegressionClassificationSupervised LearningUnsupervised LearningExploratory Data AnalysisPredictive ModelingFeature EngineeringModel EvaluationStatistical AnalysisData PreprocessingCross‑ValidationHyperparameter TuningPythonSQLGitGitHubVisual Studio CodeJupyter NotebookGoogle ColabPandasNumPyMatplotlibScikit‑learnMicrosoft AzurePower BIData VisualizationDashboard Design
Preface
I am a passionate AI Engineer from Mansoura National University, eager to turn data into actionable insights. My journey began with hands‑on projects in classification, regression, and data analysis, leading to a perfect score on the Huawei HCIA‑AI exam. I thrive on solving complex problems, whether it’s diagnosing electrical hardware or designing sustainable engineering frameworks. Beyond technical skills, I have founded and led the Microsoft Campus Club at MNU, growing it from zero to over 40 active members and delivering intensive learning tracks in Applied Machine Learning, Data Science, and Power BI. My experience as an Electrical Maintenance Technician sharpened my analytical mindset and taught me the value of precision and safety. I am now focused on leveraging Python, SQL, and cloud technologies to build scalable ML pipelines that drive business impact. I enjoy collaborating with cross‑functional teams, mentoring peers, and continuously learning new tools to stay at the forefront of AI innovation.
The Journey
Today
Present

Open to what comes next.

Reach out if our paths should cross.

ahmedalpahwy@gmail.com+201157408339
Milestone

Carbon Fiber from Organic Waste

Co‑developed a sustainable engineering research framework targeting 60% cost reduction in carbon fiber production via organic waste conversion. Conducted environmental impact assessments and economic feasibility studies projecting 40% lower CO₂ emissions vs. conventional manufacturing.
PythonData AnalysisSustainability
Milestone

Laptop Price Predictor

Built an end‑to‑end ML pipeline using Random Forest Regressor (Python, Scikit‑learn) to predict laptop prices across 1,300+ records based on hardware specifications. Achieved R² = 0.91 with RMSE and MAE within acceptable thresholds.
PythonScikit‑learnRandom ForestPandasNumPy
Milestone

Loan Approval Prediction

Developed a predictive classification model (Python, Pandas, Scikit‑learn) achieving 89% accuracy in automating loan eligibility assessment across 600+ applicant records. Reduced false‑positive credit risk decisions by 22% through algorithm optimization.
PythonScikit‑learnPandasNumPy
The road here
Chapter
Apr 2026 — Present

Microsoft Learn Student Ambassador & Campus Club Founder

Microsoft

Founded and led the Microsoft Campus Club (MCC MNU) from 0 to 40+ active members, designing a dual‑wing organizational structure for technical deployment and operations. Co‑designed and delivered 4 intensive learning tracks covering Applied Machine Learning, Data Science & AI, and Power BI Data Visualization, upskilling 40+ university students. Directed agile development and live deployment of the club’s official web platform on Microsoft Azure within a 3‑sprint cycle; formulated retention tracking workflows achieving 85%+ event attendance rates.
Credential
2025

Python 5‑Star Gold Badge (Problem Solving & Coding)

HackerRank

Credential
2025

C Language Certified Competency Badge

HackerRank

Credential
2025 – 2026

Machine Learning Track & Data Analysis Certifications

DataCamp

Credential
2025

Python for Data Science & SQL Fundamentals

W3Schools

Credential
2024

HCIA‑Artificial Intelligence Certification

Huawei

Chapter
Jun 2019 — Sep 2024

Electrical Maintenance Technician

Family Business / Private Workshop

Diagnosed, troubleshot, and repaired 200+ complex electrical hardware units and consumer appliances over 5 years, ensuring 100% safety compliance. Utilized specialized testing equipment to isolate hardware faults, reducing average diagnosis time by 30% through systematic root‑cause analysis. Developed a rigorous problem‑solving mindset across 5+ years and 500+ service sessions, consistently delivering repairs within 24‑hour turnaround.
Foundation
Present

Bachelor’s, AI Engineering

Mansoura National University

Origin

Where it began, 2019. Every chapter since has built on this.

© 2026 Ahmed Abu Al-Maati. The journey continues.Built with Portify