Ahmed Akram Amer

Machine Learning Engineer

About Me

Aspiring Machine Learning Engineer with hands-on experience in Python, SQL, and machine learning frameworks. Skilled in supervised and unsupervised learning, EDA, model deployment, and data visualization. Proven ability to deliver impactful ML projects with quantifiable results.

Certificates

HCIA AI

HCIA-AI

HCIA- Exam

HCIA-AI Exam

Machine Learning Specialization

Machine Learning Specialization

AI Engineer For Data Scientists Associate

AI Engineer For Data Scientists Associate

Applied Deep Learning

Applied Deep Learning

ITI AI & Machine Learning

ITI AI & Machine Learning

Database Fundmentals

Database Fundamentals

British Airways Simulation

British Airways | Data Science Simulation

oracle-ai

Oracle Cloud Infrastructure AI Foundations

Sprints AI

Sprints x Microsoft Summer Camp

SQL

SQL - Intermediate Level

Python

Python For AI and Data Science

Python Badge

Python Badge

Python

Python Problem Solving

Hard Skills

Python
Machine Learning
Data Analysis
Deep Learning

Soft Skills

Problem Solving
Communication
Teamwork
Adaptability

Projects

Marketing Campaign Classification

Purpose: Predict customer responses to marketing campaigns to optimize targeting and improve response rates.

Tools Used: Python, Pandas, Scikit-learn, Matplotlib.

Achieved 92% accuracy in predicting customer responses.
Reduced model training time by 25% through optimized preprocessing pipelines.

GitHub Repo: Link

German Traffic Signs Classification

Purpose: Classify different types of traffic signs to assist in autonomous driving systems and improve road safety.

Tools Used: Python, TensorFlow, Keras.

Classified 43 categories of traffic signs using a CNN model.
Improved dataset augmentation pipeline, increasing model robustness by 20%.

GitHub Repo: Link

Experience

NASA Space Apps Challenge – Seismic Detection

Participated in the NASA Space Apps Challenge, developing a seismic event detection model handling over 5,000 data points.
Reduced false positive rate by 15% through fine-tuning threshold metrics.
Tools: Python, Scikit-learn, Matplotlib.

British Airways Data Science Simulation

Completed a virtual job simulation focused on data science tasks for British Airways, including web scraping, data analysis, and presentation of insights.

Sprints x Microsoft Summer Camp

Participated in AI-focused summer camp, gaining hands-on experience in machine learning and AI development through projects and workshops.

ITI AI & Machine Learning Training

Completed intensive training program in AI and Machine Learning at ITI, covering topics from basics to advanced model deployment.