Ahmad Naser

Computer Science graduate focused on Data Science and Machine Learning, with hands-on experience building ML, CNN, and exploratory data analysis projects using Python, SQL, Pandas, scikit-learn, and TensorFlow. Seeking an entry-level Data Scientist or Machine Learning role.

Heart Failure Prediction — Machine Learning Model Comparison

• Built and compared classification models using Python, Pandas, NumPy, and scikit-learn to predict heart failure outcomes.
• Performed data preprocessing, exploratory analysis, model training, and evaluation to compare model performance.

CNN-Based Pneumonia Classification

• Developed a CNN image classification model using Python and TensorFlow/Keras to classify chest X-ray images.
• Preprocessed image data, trained the neural network, and evaluated classification performance using standard metrics.

Google Play Store Exploratory Data Analysis

• Analyzed Google Play Store data using Python, Pandas, NumPy, and Matplotlib to identify trends in ratings, installs, categories, and pricing.
• Cleaned and transformed raw data, handled missing values, and created visualizations to communicate key findings.

Eventify — Smart University Event Management System

• Led development of a full-stack event management platform using React, TypeScript, FastAPI, MySQL, Docker, and Gemini.
• Implemented authentication, role-based access, event management, dashboards, database modeling, and AI-generated event descriptions.

• IBM - Data Science Professional Certificate
  - Applied Python, SQL, Pandas, NumPy, and Jupyter to practical data science tasks.
  - Performed data cleaning, EDA, visualization, and statistical analysis on real-world datasets.
  - Built and evaluated machine learning models with scikit-learn using end-to-end workflows.