Ahmed Akram Amer
Aspiring Machine Learning Engineer
Delivering impactful ML projects with quantifiable results.
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About Me
As an aspiring Machine Learning Engineer, I bring a robust foundation in Python, SQL, and essential machine learning frameworks. My expertise spans from developing supervised and unsupervised learning models to performing in-depth exploratory data analysis (EDA) and effective data visualization. I am passionate about translating complex data into actionable insights and deploying robust ML solutions that drive tangible business value.
My hands-on experience includes optimizing machine learning pipelines, automating data preprocessing, and ensuring high client satisfaction through the delivery of end-to-end projects. I thrive on problem-solving and am committed to continuous self-learning, consistently seeking to expand my skill set and apply cutting-edge techniques to real-world challenges.
Impact-Driven
Focused on delivering projects with quantifiable results.
Technical Proficiency
Skilled in Python, SQL, and leading ML frameworks.
End-to-End Solutions
From EDA to model deployment, I handle the full lifecycle.
Education
My academic journey has provided a strong theoretical and practical base in computer science and engineering, with a keen focus on advanced electronic systems and intelligent algorithms.
Menoufia University
Bachelor of Electronic Engineering
Major: Computer Science & Engineering
Expected Graduation: October 2026
GPA: 3.72 / 4.0
Specialized Training
My education is complemented by intensive bootcamps and specializations that dive deep into AI and Machine Learning, ensuring a cutting-edge skill set.
  • ITI – AI & Machine Learning Program
  • Machine Learning Specialization – DeepLearning.ai
  • Python for AI & Data Science – IBM
Work Experience
My professional journey reflects a blend of independent project management and collaborative team contributions, consistently delivering high-quality machine learning solutions.
1
Freelance Machine Learning Developer
2023 – Present
  • Developed 5+ ML models for classification & clustering.
  • Automated preprocessing scripts, reducing manual work by 30%.
  • Delivered 2 end-to-end ML projects with 90% client satisfaction.
2
AI & Data Science Intern – DEPI | EYouth
June – December 2025
  • Developed supervised ML models with 90% accuracy for predictive analytics.
  • Performed extensive EDA & feature selection using Pandas & Seaborn.
  • Deployed ML models into production environments using Flask & Docker.
3
AI & Data Science Trainee – ITI Bootcamp
April – June 2024
  • Analyzed 10,000+ records for predictive modeling applications.
  • Built a seismic detection ML model for the NASA Space Apps Challenge.
Key Projects
My portfolio highlights diverse applications of machine learning, from optimizing marketing strategies to real-time image processing.
1
Marketing Campaign Classification
Achieved 92% accuracy with an optimized pipeline for predicting marketing campaign success.
2
German Traffic Signs Classification
Developed a CNN model for 43 traffic sign categories, improving model robustness by 20%.
3
Image Processing Web App
Built a web application using Streamlit, OpenCV, and NumPy for various image processing tasks.
4
NASA Space Apps Challenge
Developed a seismic detection ML model, reducing false positives by 15% and enhancing accuracy.
Featured Project 1:
Marketing Campaign Classification
Develops an AI-powered predictive model to forecast whether a customer will respond positively to a marketing campaign, leveraging demographic (age, gender, income, location) and behavioral data (purchase history, engagement, previous campaign responses).
Through advanced machine learning algorithms such as Random Forest and Decision Tree , the system achieved:
Accuracy: ~92%
Precision: ~88%
Recall: ~85%
Key Benefits for Clients: Target the right audience with higher precision, reducing wasted marketing spend. Boost conversion rates by focusing on high-probability leads.
Featured Project 2:
German Traffic Signs Classification
This project develops a Deep Learning model to automatically classify German traffic signs from the German Traffic Sign Recognition Benchmark (GTSRB) dataset.
The goal is to assist in building intelligent driver assistance systems and autonomous vehicles by recognizing and interpreting road signs in real time.
Dataset: 50,000+ labeled images across 43 traffic sign classes.
Preprocessing: Image resizing, normalization, and data augmentation (rotation, shift, zoom) to improve model generalization.
Accuracy: ~98.7% on the test set.
Featured Project 3:
British Airways - Data Scientist Job
This project combines Natural Language Processing (NLP) and Machine Learning to analyze customer reviews from Skytrax Airline and evaluate a predictive model for customer behavior , Data & Insights.
Part 1 3 Skytrax Airline Review Analysis :
Positive: 546 reviews (55%)
Negative: 437 reviews (43%)
Neutral: 17 reviews (2%)
Part 2 3 BA Technology Data Model Evaluation :
Most influential variable: purchase_lead 3 time between booking and departure.
Precision: ~70% the model correctly identifies positives most of the time.
Recall: ~0.3% 3 extremely low sensitivity, missing most actual positives.
Key Benefits for Clients: Target the right audience with higher precision, reducing wasted marketing spend. Boost conversion rates by focusing on high-probability leads.
Technical & Soft Skills
A comprehensive overview of the programming languages, frameworks, and tools I leverage to build and deploy advanced ML solutions.
Programming
Python, C++, C#, SQL
Frameworks
Scikit-learn, TensorFlow, PyTorch
Data Analysis
Pandas, NumPy, Matplotlib, Seaborn
Deployment
Flask, FastAPI, Streamlit, Docker
Tools
Jupyter, Colab, Git/GitHub, VS Code
Soft Skills
Problem-Solving, Teamwork, Communication, Self-Learning
Certifications
My commitment to continuous learning is demonstrated through a range of industry-recognized certifications from leading institutions.
HCIA-AI
Huawei
AI Engineer Associate
DataCamp
Python Data Associate
DataCamp
ML Specialization
DeepLearning.ai
AI & ML Program
ITI Bootcamp
SQL for Data Science
IBM
Sprints Bootcamp x Microsoft
Offered Services
1
ML Model Development
classification, Regression, Clustering
2
End-to-End ML Deployment
Flask, Streamlit, Docker Integration
3
NLP Solutions
Sentiment Analysis, Text Classification
4
Computer Vision
Image Recognition, Object Detection
5
Data Analysis & Visualization
Insights from Complex Datasets
6
AI Consultation & POCs
Strategic Guidance & Prototyping
Achievements & Recognition
Beyond formal education and experience, my dedication to the field is underscored by personal initiative and community involvement.
150+
Self-Learning Hours
Dedicated to mastering new AI & ML concepts and tools.
6+
Projects Published
End-to-end ML projects with full deployment pipelines.
ETC
AWS Emerging Talent Community
Recognized member of the AWS ETC, 2025 cohort.
These achievements highlight not just my technical capabilities, but also my proactive approach to professional development and my engagement with the AI community. I am committed to continuous growth and contributing to innovative solutions.
Let's Connect
I'm always eager to discuss new opportunities, collaborate on innovative projects, or simply connect with fellow AI/ML enthusiasts. Reach out to explore how my skills can contribute to your team's success.
GitHub
github.com/Ahmed-7-ML
Next Steps
Ready to leverage cutting-edge machine learning expertise for your next big project? I'm actively seeking challenging Machine Learning Engineering roles where I can apply my skills to drive innovation and create impactful solutions.
My resume provides a detailed breakdown of my technical capabilities and project experience. I am confident in my ability to quickly integrate into your team and contribute effectively from day one.
Let's discuss how my passion for machine learning and proven project delivery can benefit your organization. I look forward to connecting and exploring potential collaborations.
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